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2025-04-02-top

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討論重點​

以下是30篇討論重點的條列式總結，並附上對應的文章錨點連結與逐條細節：

1. v0.7.3 Update: Dive, An Open Source MCP Agent Desktop P​

  • 多模型支援與切換：支援多種LLM（如GPT-4、Claude、Gemini），可自訂模型配置。
  • 用戶體驗優化：可編輯訊息、重新生成AI回應、自動更新及介面改進（如折疊區塊）。
  • MCP伺服器整合：簡化安裝流程，提供高效能系統整合。

2. MCPC: A protocol extension for MCP to allow two-way communication between LLM and tools.​

  • 技術細節：向後兼容MCP，支援TextContent回傳，未來擴展至圖片等格式。
  • 開源協作：提供Python實作，邀請社群貢獻。
  • 開發動機：解決單向通訊限制，滿足開發者需求。

3. The MCP Authorization Spec Is... a Mess for Enterprise​

  • 微服務化挑戰：動態發現MCP伺服器功能。
  • 代理層設計：透過API Gateway統一驗證與路由。
  • 精細權限控制：限制客戶端存取授權的伺服器與工具。

4. Open WebUI new release; OpenAPI support and MCP bridge​

  • 混合架構：同時支援成熟API與新興MCP伺服器。
  • 擴展性：降低整合門檻，優化開發者體驗。

5. Does having hosted MCP servers sound useful to you ? or you would just use STDIO ?​

  • 遠端託管價值：便利性與協作優勢。
  • 本地方案比較：控制權、延遲與成本取捨。

6. mcp-youtube-transcript​

  • 痛點批評：手動複製字幕至聊天介面效率低下，需自動化解決方案。

7. Can People Here Explain to Me the Pros and Cons of MCP vs Workflow?​

  • 新舊技術比較：MCP（自動化工廠）vs. 傳統工具（如n8n），探討適用場景。

8. Is it possible to build custom MCP client applications yet?​

  • 開發限制：缺乏自訂客戶端指引，詢問生態開放性與資源。

9. Enhancing Claude Desktop with Lara MCP​

  • 情境感知翻譯：支援文化差異與專業術語。
  • 整合教學：提供Docker與NPX部署步驟。

10. HubSpot MCP​

  • CRM整合：推測為HubSpot行銷雲與MCP的數據管理功能結合。

（因篇幅限制，以下簡化摘要，完整細節請參閱錨點連結）

11-30. 其他重點摘要​

  • 11：本地部署AI代理與Excel整合的挑戰。
  • 12：Figma與MCP教學影片（需內容補充）。
  • 13：MCP伺服器滲透測試工具與資安建議。
  • 14：MCP Router集中管理LLM應用伺服器。
  • 15：MCP作為LLM與工具的標準化橋樑。
  • 16：Firebird數據庫的MCP整合（內容待確認）。
  • 17：提議集中式MCP伺服器商店。
  • 18：MCP雙週報發布追蹤生態發展。
  • 19：跨MCP同步工作空間的技術挑戰。
  • 20：改進MCP Inspector為Post

文章核心重點​

以下是各篇文章的一句話摘要（條列式輸出）：

  1. v0.7.3 Update: Dive, An Open Source MCP Agent Desktop
    Dive 是一個支援多種大型語言模型的開源桌面工具，提供模型切換、訊息編輯及 MCP 伺服器整合等功能。

  2. MCPC: A protocol extension for MCP to allow two-way communication between LLM and tools.
    MCPC 是 MCP 協議的擴展，實現 LLM 與工具間的雙向通訊，目前支援文字內容並開放原始碼供社群協作。

  3. The MCP Authorization Spec Is... a Mess for Enterprise
    探討企業環境中 MCP 伺服器的微服務化架構挑戰，聚焦服務發現、權限控管與代理層設計的安全性問題。

  4. Open WebUI new release; OpenAPI support and MCP bridge
    OpenWebUI 0.6.0 版本強化工具整合，新增混合架構以同時支援傳統 API 與新興 MCP 伺服器。

  5. Does having hosted MCP servers sound useful to you ? or you would just use STDIO ?
    討論遠端託管 MCP 伺服器與本地 STDIO 方案的實用性取捨，比較協作便利性與控制權等優缺點。

  6. mcp-youtube-transcript
    批評手動複製 YouTube 字幕到聊天機器人的低效流程，呼籲自動化整合解決方案。

  7. Can People Here Explain to Me the Pros and Cons of MCP vs Workflow?
    以淺顯比喻探討 MCP 伺服器與傳統自動化工具（如 n8n）的差異及適用場景。

  8. Is it possible to build custom MCP client applications yet?
    詢問開發自訂 MCP 客戶端應用的可行性，目前缺乏官方指引與開發資源。

  9. Enhancing Claude Desktop with Lara MCP: Powerful Context-Aware Translations
    透過 Lara MCP 為 Claude Desktop 新增情境感知翻譯功能，支援多語言與專業術語處理。

  10. HubSpot MCP
    推測為 HubSpot 與 Shinzo Labs 的 MCP 整合方案，可能強化行銷自動化與 CRM 數據管理（無具體內容）。

  11. Looking for advice: Deploying custom AI agen``` with MCP locally
    徵求本地部署 MCP 型 AI 代理程式的建議，尤其針對 Excel 文件互動的商業流程自動化。

  12. Figma MCP tutorial
    因無法存取內容，建議檢視影片標題與簡介判斷核心主題（可能為 Figma 設計工具教學）。

  13. MCP Server Pentest
    分析 MCP 伺服器的滲透測試方法，包含漏洞掃描、風險評估與防護建議。

  14. MCP Router Launched | Simple MCP Management, Auth & Logs in One Place
    介紹新工具 MCP Router，集中管理多台 MCP 伺服器，提供一鍵安裝、日誌分析與 Token 驗證功能。

  15. I dove into MCP and how it can benefit from orchestration frameworks!
    說明 MCP 作為 LLM 與工具的標準化橋樑，結合協作架構可實現更複雜的智能代理功能。

  16. MCP Firebird
    推測為 Firebird 資料庫的 MCP 伺服器實作，允許 LLM 透過自然語言操作資料（無具體內容）。

  17. MCP server "store" / hosting server
    提議建立集中式 MCP 伺服器託管平台，類似應用商店簡化部署與管理流程。

  18. MCP Newsletter
    宣布推出雙週報《MCP Biweekly》，追蹤 MCP 相關新聞、文章與專案進展。

  19. I just made a remote storage MCP server
    開發遠端儲存 MCP 伺服器，實現跨平台工作空間檔案同步功能。

  20. Is MCP inspector enough?
    批評 MCP Inspector 功能不足，建議開發類似 Postman 的桌面應用提升多伺服器管理體驗。

  21. MCP for Shopify Api
    推測為 Shopify 商家後台整合 Claude AI 的開源工具，可能用於自動化客服或數據分析。

  22. Using MCP for RAG workflow
    探討如何用 MCP 伺服器自動化爬取、儲存與檢索文件，取代手動複製貼上提示詞的流程。

  23. Fully Featured AI Coding Agent as MCP Server
    介紹開

目錄​

1. v0.7.3 Update: Dive, An Open Source MCP Agent Desktop​

The core discussion topic of the article is the features and updates of the Dive desktop application, focusing on its capabilities as a versatile tool for developers working with various large language models (LLMs). Key points include:

  1. Multi-Model Support & Switching:

    • Dive supports a wide range of LLMs (e.g., OpenAI GPT-4, Claude, Gemini, Mistral AI) and allows seamless switching between them, including custom models and configurations.

  2. User Experience & Performance Optimization:

    • Enhancements like editable messages, regenerating AI responses, auto-updates, and interface improvements (e.g., collapsible sections, better error handling).
    • Background operation and auto-start functionality for convenience.

  3. Integration with MCP Server:

    • Dive simplifies MCP Server installation and offers high-performance system integration for flexible development.

The article also invites users to try the latest version via its GitHub release page.

Summary: Dive is positioned as a powerful, user-friendly tool for developers leveraging multiple LLMs, with a focus on real-time tool calls, customization, and performance optimizations.

內容​

Dive is a desktop application for Windows and Linux that suppor``` all LLMs capable of making tool calls. It is currently the easiest way to install MCP Server. Offering real-time tool call embedding and high-performance system integration, Dive is designed to provide developers with more flexible and efficient development tools.

0.6.0 0.7.3 Update Summary

  1. Multi-Model Support & Switching

  • Supported models: OpenAI GPT-4, ChatGPT API, Azure OpenAI, Claude, AI21, Gemini, HuggingChat, Mistral AI, deepseek, AWS, and other LLM services. Custom models are also supported.

  • Multi-model Switching: Switch between multiple MCP Servers. You can use multiple se``` of keys or different configurations for the same LLM provider, and easily switch between them.

  1. User Experience & Performance Optimization

  • Editable Messages: Modify messages that have already been sent.

  • Regenerate Responses: Suppor``` regenerating AI responses.

  • Auto Updates: Now suppor``` automatic updates to the latest version.

  • Interface and Operation Enhancemen```: Collapsible tool_calls and tool_result sections; pressing ESC while the sidebar is open will prioritize closing the sidebar instead of interrupting AI responses.

  • API Key Configuration Improvemen: Displays error messages in red for incorrect inpu, and error messages disappear automatically when switching providers.

  • MCP Server Default Example Optimizations: The echo example has been updated from CJS format to ESM, reducing file size.

  • Background Operation and Auto-Start: The app can be minimized to the background and suppor``` auto-start on boot.

Try it out!

https://github.com/OpenAgentPlatform/Dive/releases It would be nice as a web app. But oke you got Open WebUI for it I guess.

討論​

評論 1:

Dive is a desktop application for Windows and Linux that suppor``` all LLMs capable of making tool calls. It is currently the easiest way to install MCP Server. Offering real-time tool call embedding and high-performance system integration, Dive is designed to provide developers with more flexible and efficient development tools.

0.6.0 0.7.3 Update Summary

  1. Multi-Model Support & Switching
  • Supported models: OpenAI GPT-4, ChatGPT API, Azure OpenAI, Claude, AI21, Gemini, HuggingChat, Mistral AI, deepseek, AWS, and other LLM services. Custom models are also supported.
  • Multi-model Switching: Switch between multiple MCP Servers. You can use multiple se``` of keys or different configurations for the same LLM provider, and easily switch between them.
  1. User Experience & Performance Optimization
  • Editable Messages: Modify messages that have already been sent.
  • Regenerate Responses: Suppor``` regenerating AI responses.
  • Auto Updates: Now suppor``` automatic updates to the latest version.
  • Interface and Operation Enhancemen```: Collapsible tool_calls and tool_result sections; pressing ESC while the sidebar is open will prioritize closing the sidebar instead of interrupting AI responses.
  • API Key Configuration Improvemen: Displays error messages in red for incorrect inpu, and error messages disappear automatically when switching providers.
  • MCP Server Default Example Optimizations: The echo example has been updated from CJS format to ESM, reducing file size.
  • Background Operation and Auto-Start: The app can be minimized to the background and suppor``` auto-start on boot.

Try it out!

https://github.com/OpenAgentPlatform/Dive/releases

評論 2:

It would be nice as a web app. But oke you got Open WebUI for it I guess.

2. MCPC: A protocol extension for MCP to allow two-way communication between LLM and tools.​

這篇文章的核心討論主題是：
作者開發了一個名為「MCPC」的協定擴展，用以解決既有 MCP（可能指某種通訊協定）單向傳輸的限制，並實現雙向通訊功能。重點包括：

  1. 技術細節：

    • MCPC 完全向後兼容現有 MCP 架構，僅在客戶端與伺服器均支援時啟用進階功能。
    • 目前僅支援 TextContent 回傳類型，但未來計劃擴展至圖片等其他格式。

  2. 實用性與協作：

    • 需搭配支援 MCPC 的框架使用（非官方 SDK 需額外適配）。
    • 作者開放原始碼（GitHub 提供 Python 版本），並邀請社群貢獻或提出回饋。

  3. 開發動機：

    • 起源於自身需求，後公開分享以協助其他可能面臨相同問題的開發者。

總結：文章主要介紹 MCPC 的創新功能、技術實現與開源協作意向，目標是提升 MCP 協定的靈活性與應用範圍。

內容​

Hey!

Ive been playing around with MCP for a while and kept running into limitations with the one-way communication setup. To work around that, I put together a protocol extension that wraps around the existing MCP transport layer. Its fully backwards compatible, so nothing breaksyou just wont get the extra features unless both the client and server support MCPC.

If youre using an MCP framework (which I personally recommend since they handle a lot of the boilerplate) other than the official SDKs, it would need to support the MCPC extension to take advantage of the new functionality.

Im open to pull reques and happy to help with implementation if anyone is interested. Right now, the only supported return type is TextContent (since MCPCMessage is wrapped in italthough you could technically attach whatever you want as MCPCMessage.result), but Id love to expand that to include images and other forma down the line.

If you're curious, heres the GitHub repo (Python only for now):

https://github.com/OlaHulleberg/mcpc

I originally built this to solve a need of my own, but I figured it might be useful for others too. Would love to hear any though``` or feedback!

討論​

評論 1:

I currently use MCP to include o1 and Gemini 2.5 Pro in my Claude Code work, review code looking for weaknesses, logic errors, edge cases etc.

I would love to be able to "keep the connection open" permanently with Gemini and/or o1, so that they see everything Claude sends to me as a response, and they can interject at any time.

I've built custom commands and my own code ou```ide of Claude Code to keep it in the loop, easily attach files, etc but it's still limited to a single interaction.

評論 2:

How is this different than the sampling feature of MCP?

評論 3:

While the idea is good, the practicality of this approach has quite a number of problems.

From my understanding this introduces an async way of communicating btw tools and LLM, working with this understanding ONE of the main problems of this approach comes from the fact that the UI for AI is primarily chat based right now. The cognitive load required to keep track of each task or query in the chat UI is one issue that comes to mind.

Another issue is the switch in context from the current task ongoing and the fresh queries being given to the LLM. It might not do it's best work for both or neither.

Still a couple more issues I can see. But the project has potential, just a lot to think about to make it usable.

3. The MCP Authorization Spec Is... a Mess for Enterprise​

這篇文章的核心討論主題是：在企業環境中，如何設計和管理多個 MCP（Microservice-like Component Platform）伺服器的架構，特別關注服務發現、訪問控制與安全授權機制。具體要點包括：

  1. MCP 伺服器的微服務化與服務發現
    探討如何將 MCP 伺服器視為微服務，並解決客戶端（clien```）如何動態發現不同 MCP 伺服器功能（capabilities）的問題。

  2. 代理層（Gateway/Proxy）的設計
    提出是否需要透過代理服務（如 API Gateway）統一處理身份驗證（Auth）、路由請求，並將客戶端導向對應的 MCP 伺服器，以簡化架構複雜性。

  3. 精細化的訪問控制
    討論如何限制特定客戶端僅能訪問授權的 MCP 伺服器，並在客戶端調用「列出工具」（list tools）端點時，僅返回其權限範圍內的工具列表。

  4. 企業級架構示例需求
    希望看到一個基於 HTTP 協議、整合 MCP 伺服器的企業級參考架構，涵蓋上述服務發現、代理層與權限管理機制。

總結：文章聚焦於 「企業分散式系統中 MCP 伺服器的治理模式」，核心挑戰在於平衡靈活性（微服務化）與安全性（權限管控），並尋求標準化的架構實踐。

內容​

In an enterprise, MCP ~= tool use To add to this, if we treat individual MCP servers almost like micro services, how can we enable discovery for clien``` to find all the differentcp server capabilities.

In fact should we front all these MCP servers with some sort of proxy service or gateway which handles Auth and proxies clien``` to the requested MCP server.

How can we ensure only certain clien``` have access to certain servers and when the list tools endpoint is called by the client, it only brings back the tools that client is allowed to use.

Would love to see a sample architecture of all this for enterprise. HTTP > MCP

討論​

評論 1:

In an enterprise, MCP ~= tool use

評論 2:

To add to this, if we treat individual MCP servers almost like micro services, how can we enable discovery for clien``` to find all the differentcp server capabilities.

In fact should we front all these MCP servers with some sort of proxy service or gateway which handles Auth and proxies clien``` to the requested MCP server.

How can we ensure only certain clien``` have access to certain servers and when the list tools endpoint is called by the client, it only brings back the tools that client is allowed to use.

Would love to see a sample architecture of all this for enterprise.

評論 3:

HTTP > MCP

4. Open WebUI new release; OpenAPI support and MCP bridge​

該 GitHub 發布頁面（OpenWebUI v0.6.0）的核心討論主題可總結為以下幾點：

  1. 工具支援的強化
    版本 0.6.0 進一步整合了對現有工具（Tools）的支援，強調其長期以來對開發者工具生態的兼容性。

  2. 混合式架構的改進
    此版本引入了一種「混合式」（hybrid）設計，旨在同時支援兩類服務：

    • 成熟的伺服器/API：加強與穩定後端服務的整合。
    • 新興的 MCP 伺服器（如本地模型推論服務或特定協定框架），提供對新技術的實驗性支援。

  3. 擴展性與兼容性
    更新重點在於擴大系統的適應範圍，既能滿足現有成熟基礎設施的需求，又能快速融入前沿技術（如 MCP 相關協議），降低開發者的整合門檻。

  4. 用戶體驗優化
    間接提及的目標是透過此架構簡化開發流程，讓用戶更靈活地結合不同類型的服務（如雲端 API 與本地模型）。

關鍵詞：工具整合、混合架構、MCP 伺服器支援、API 兼容性、OpenWebUI 生態擴展。

（註：由於無法直接訪問該鏈接，此分析基於提供的片段內容及常見版本發布模式推論。）

內容​

https://github.com/open-webui/open-webui/releases/tag/v0.6.0

They've supported tools for a while, but this feels like a nice hybrid to add a large amount of mature servers/APIs and integration for emerging MCP servers.

討論​

無討論內容

5. Does having hosted MCP servers sound useful to you ? or you would just use STDIO ?​

這篇文章的核心討論主題是：

「遠端託管的 MCP（可能指 Minecraft 伺服器或其他技術服務）伺服器對終端使用者的實用性，以及與本地運行方案的比較。」

具體探討的問題包括：

  1. 遠端託管 MCP 伺服器的價值：是否值得讓終端使用者透過單一連結直接連接到整合開發環境（IDEs）或程式碼生成工具（code agents）？
  2. 本地方案的替代性：是否直接使用本地運行的 MCP 伺服器就能滿足需求，而無需依賴遠端託管服務？

討論聚焦於遠端託管服務的便利性、潛在優勢（如協作、易用性），以及與本地解決方案相比的取捨（如延遲、控制權、成本等）。

內容​

There are a lot of startups around building hosted remote MCP servers, is it useful for end consumers to be able to connect to IDEs and code agen``` via a single link ?

Or you would just use local MCP server and call it a day ?

討論​

評論 1:

I am keeping an open mind about which direction the market will head, but my gut feeling is telling me that all of these servers will be hosted. A few reasons that come to mind:

  1. Hosted servers are easier to isolate (security)
  2. Hosted can persist across different envs (like your phone and your computer)
  3. Hosted servers are easier to deploy (since the platform handles). here is an example of how the hosting process looks on Glama

The biggest problems with remote servers at the moment are:

  1. Lack of shared FS
  2. Lack of ways to interact with local software
  3. Stability

All three problems are solvable.

Once these issues are addressed, I suspect MCP to become mainstream, i.e. as popular as app store.

評論 2:

Id say they are useful when you are building a product like a SaaS where you are not the final user. But I believe that in the end, wherever there is a REST API, there will probably be an MCP API as well.

6. mcp-youtube-transcript A Model Context Protocol server that enables retrieval of transcrip from YouTube videos. This server provides direct access to video transcrip and subtitles through a simple interface, making it ideal for content analysis and processing.​

The core discussion topic of the provided text snippet revolves around the inconvenience or inefficiency of using a separate transcript website and manually copying and pasting content into a chatbot interface. The tone ("Neat!") suggests sarcasm or frustration, highlighting a user experience issue where seamless integration is lacking.

Key points:

  1. Workflow friction: The need to switch between platforms (transcript website and chatbot) disrupts efficiency.
  2. Manual effort: Copy-pasting is seen as an unnecessary step, implying a desire for automated or integrated solutions.
  3. User experience critique: The sarcastic tone underscores dissatisfaction with the current process.

In summary, the focus is on criticizing a disjointed user interface design that requires cumbersome manual steps for a simple task.

內容​

Neat! Bea``` having to use a separate transcript website and copy-paste into the chatbot

討論​

評論 1:

Neat! Bea``` having to use a separate transcript website and copy-paste into the chatbot

7. Can People Here Explain to Me the Pros and Cons of MCP vs Workflow?​

這篇文章的核心討論主題是：

「MCP伺服器（可能指現代化、高效能的運算平台）對傳統自動化工作流程工具（如n8n等）的影響與意義」，並要求以簡單易懂的方式（ELI5, Explain Like I'm 5）解釋。

簡要總結：​

  1. MCP伺服器的熱門現象：探討新興技術（如MCP）的興起及其潛在優勢。
  2. 對傳統工具的衝擊：分析這類技術是否會取代或改變既有的自動化工作流程工具（例如n8n）。
  3. ELI5解釋需求：希望用淺顯的比喻或例子說明兩者的差異與關聯，例如：
    • 「傳統工具像手工工具箱，MCP像全自動工廠——哪個更適合你的需求？」

關鍵問題在於：新技術如何與現有工具共存或整合？它們各自適合什麼場景？

內容​

Quite hyped by MCP servers, but what does it mean to the "traditional" workflow Agen``` (like n8n etc.)? Please ELI5, thx!

討論​

評論 1:

In my experience, most real-world use-cases of automation are not Agents.

It's usually a well-specified process: take this info from tool A, run a prompt, and insert the output into tool B.

This does not need an MCP or any agent. It's just a workflow - with or without an AI step. And this is what you'd usually use n8n or Make for.

Indeed, there is a big promise in agentic-autonomous AI behavior, but there are many difficulties too. And I wouldn't be surprised if Agen``` will continue to have a narrower use compared to workflow automation for the foreseeable future.

Things like reporting and online research are great uses for agentic AI; but for anything where an agent has to change things in i``` environment runs into the problems of mistakes and responsibility.

So I think for these cases "traditional" workflows will remain the go-to way for a long time.

評論 2:

n8n tells the locksmith which doors to fix and when. MCP gives the locksmith the tools, memory, and rules so the agent can figure out how to fix them. One controls the steps, the other enables autonomy. Different purposes, not competitors.

評論 3:

There are a couple concep``` you should be aware of; if you don't like this explanation, I recommend asking your favorite LLM for more info:

- MCP is a protocol; protocols are there to define how communication is done. Mcp "Servers" are basically just scrip that are written to interpret functions and purpose of a given application in a way that describes what the server is for, and the tools that it has access to use so an LLM can run said commands. \- Apps like n8n, Zapier, Make, etc., are workflow automation platforms; this concept has existed before LLMs, and aren't natively related to AI, but have for the most part adopted to include LLM and agentic functionality. N8n as an example can be made to be an MCP "Client" but it's not necessarily n8n ielf doing this - they have AI Agent nodes that can be built to leverage various models that can run tools (gpt4, claude, gemini, etc.) The AI agent node access a model node and an MCP Client tool node which can be combined to make an MCP client.

n8n also has plenty of other tool nodes that it can use such as gmail, outlook, any many many others. But usually you have to set up a single node for each command you want, you have to describe what the agent has access to, and if the commands or applications don't have their own nodes, you may have to build your own node or a whole other workflow with each command defined using http request nodes instead (interacting with the API). Rather than going through all of that, in n8n you can have one node to list the available tools, and another to execute. The list of servers is all neatly listed in Json, and you just add more servers if you want to add more functionality to the agent.

The biggest confusion many have isn't between MCP and automation platforms, but between MCP and agentic frameworks such as Langchain, Pydantic AI, etc. That's a whole other story.

評論 4:

MCP is a tool protocol for agen```. You can even make an MCP workflow if you want to. Go to the repo and research the MCP servers available then decide if you like some pf those and try ans use them. Having someone explaining teoretical stuff for you is lame. Go and try it out dude.

8. Is it possible to build custom MCP client applications yet?​

這篇文章的核心討論主題是：
「開發者能否自行構建基於Anthropic Model Context Protocol (MCP)的自訂客戶端應用程式？」

具體要點包括：

  1. 現有MCP應用的限制：目前教程與範例多集中於Claude Desktop、Cursor等既有應用，缺乏獨立開發的指引。
  2. 開發者權限與可行性：探討MCP是否開放讓開發者從零打造客製化客戶端，或僅限於官方整合的應用程式。
  3. 資源需求：詢問是否有相關文件、範例或資源可供參考，以支持獨立開發。
  4. 社群經驗分享：徵求實際嘗試過構建MCP客戶端或了解生態現狀的開發者見解。

整體聚焦於MCP的開發者自主性與當前技術生態的開放程度。

內容​

Hey everyone!

I've been diving into Anthropic's Model Context Protocol (MCP) and I'm really excited about i``` potential. I've noticed that most examples and tutorials focus on using MCP with existing applications like Claude Desktop and Cursor.

What I'm wondering is: can developers currently build their own custom MCP client applications from scratch? Or is MCP integration currently limited to these established apps?

I'd love to hear from anyone who has attempted to build a custom MCP client or has insigh into the current state of the MCP ecosystem for independent developers. Are there any resources, documentation, or examples for building custom clien that I might have missed?

Thanks in advance for sharing your knowledge!

討論​

評論 1:

Yes. Typescript SDK (clien``` and servers): https://github.com/modelcontextprotocol/typescript-sdk

This page has a bunch of apps that have built clien: `https`://modelcontextprotocol.io/clien

At the bottom there are links to the SDKs to build your own.

評論 2:

I've been tracking every client implementation I can find by putting it here: [https://www.pulsemcp.com/clien](`https`://www.pulsemcp.com/clien) (195 and counting)

Many of them are just CLI tools, but 30+ are solid, working clien``` that can be pretty useful to end users.

Some highligh```:

- Fast Agent: open source CLI client capable of spinning up agen``` with natural language commands. It's the only client I've seen that checks all 5 boxes of the MCP features supported matrix.
- Sage: macOS / iOS only, but a great example of a client using MCP on mobile
- Highlight: use MCP anywhere on your desktop computer

評論 3:

client QuickStart docs

評論 4:

Yes you can check this out its mcp client . https://github.com/Abiorh001/mcp_omni_connect

9. Enhancing Claude Desktop with Lara MCP: Powerful Context-Aware Translations​

這篇文章的核心討論主題是：如何將 Lara MCP（Modern Context Preservation）整合至 Claude Desktop 以增強其翻譯功能，重點包括：

  1. Lara MCP 的優勢

    • 提供情境感知翻譯（理解文化差異、專業術語、領域特定語言）
    • 自動偵測語言、支援多語言組合、可自訂翻譯指令

  2. 技術整合流程

    • 從取得 Lara Translate API 憑證到設定 Claude Desktop 的逐步教學
    • 提供 Docker 與 NPX 兩種部署方式

  3. 實際應用場景

    • 商務溝通、技術文件、行銷內容等領域的翻譯範例
    • 強調上下文（如網球術語中的 "la terra è rossa" 譯為 "The clay is red"）對翻譯準確性的影響

  4. 未來發展

    • 預告 RichContext.ai 將推出的「MCP 即服務」平台，簡化免容器化部署

總結：文章旨在說明如何透過 Lara MCP 提升 Claude Desktop 的翻譯品質，並探討情境感知技術如何解決傳統翻譯工具在專業領域與文化適應上的限制。

內容​

If youve been using Claude Desktop for your AI needs, you might be excited to learn that you can significantly enhance i``` translation capabilities by integrating Lara MCP (Modern Context Preservation). This powerful integration enables context-aware translations that understand cultural nuances, technical terminology, and domain-specific language.



In this guide, Ill walk you through the process of setting up and using Lara MCP with Claude Desktop, showing you how this combination can transform your multilingual workflow.



# What is Lara MCP?



Lara MCP is a powerful translation server that enables context-aware translations through the Lara Translate API. Unlike standard translation tools, Lara MCP excels at:



* **Preserving context**: Understands the domain and situation of your text

* **Detecting languages automatically**: No need to specify source languages

* **Following custom instructions**: Adjus``` translation behavior based on your needs

* **Supporting numerous language pairs**: Comprehensive multilingual capabilities



When integrated with Claude Desktop, Lara MCP creates a seamless translation experience that maintains nuance and meaning across languages.



# Behind the Scenes: How Lara MCP Works



When you ask Claude to translate using Lara, heres what happens:



1. Claude identifies this as a Lara MCP request

2. It structures the request with:



* Text blocks marked as translatable or non-translatable

* Target language code (e.g., en-US, fr-FR)

* Any context youve provided

* Optional instructions for translation behavior



3. The request is sent to the Lara MCP server



4. Lara processes the translation, preserving context



5. Claude receives the translated text and presen``` it to you



The API request might look something like this:



    \{

        "text": [

            \{ "text": "la terra è rossa", "translatable": true \}

        ],

        "target": "en-US",

        "context": "Conversation with a tennis player"

    \}



And the response:



    [

        \{

            "text": "The clay is red.",

            "translatable": true

        \}

    ]



# Setting Up Lara MCP with Claude Desktop



Lets walk through the setup process step by step:



# Step 1: Get Lara Translate API Credentials



Before you can use Lara MCP, youll need to obtain API credentials from Lara Translate:



1. Go to the[Lara website](`https`://lara-translate.com/)

2. Subscribe to any plan (including the free tier)

3. Navigate to the API section of your account

4. Create a new pair of Lara credentials



Make sure to store these credentials securely  if lost, they cannot be recovered, and youll need to generate new ones.



# Step 2: Configure Claude Desktop to Use Lara MCP



Youll need to add Lara MCP to your Claude Desktop configuration. This is done by editing your`claude_desktop_config.json`file.



# Option 1: Using Docker (Recommended for Most Users)



If you have Docker installed, add the following to your`claude_desktop_config.json`:



    \{

      "mcpServers": \{

        "lara-translate": \{

          "command": "docker",

          "args": [

            "run",

            "-i",

            "--rm",

            "-e",

            "LARA\_ACCESS\_KEY\_ID",

            "-e",

            "LARA\_ACCESS\_KEY\_SECRET",

            "translatednet/lara-mcp:latest"

          ],

          "env": \{

            "LARA\_ACCESS\_KEY\_ID": "<YOUR\_ACCESS\_KEY\_ID>",

            "LARA\_ACCESS\_KEY\_SECRET": "<YOUR\_ACCESS\_KEY\_SECRET>"

          \}

        \}

      \}

    \}



Be sure to replace`\<YOUR_ACCESS_KEY_ID\>`and`\<YOUR_ACCESS_KEY_SECRET\>`with your actual Lara API credentials.



# Option 2: Using NPX



If you prefer using NPX (which comes with Node.js), add this configuration instead:



    \{

      "mcpServers": \{

        "lara-translate": \{

          "command": "npx",

          "args": ["-y", "@translated/lara-mcp"],

          "env": \{

            "LARA\_ACCESS\_KEY\_ID": "<YOUR\_ACCESS\_KEY\_ID>",

            "LARA\_ACCESS\_KEY\_SECRET": "<YOUR\_ACCESS\_KEY\_SECRET>"

          \}

        \}

      \}

    \}



# Step 3: Restart Claude Desktop



After modifying your configuration file, restart Claude Desktop for the changes to take effect.



# Using Lara MCP with Claude Desktop



Now comes the fun part! With Lara MCP integrated, you can leverage context-aware translations directly in your conversations with Claude. Lets look at how to use it effectively.



# Basic Translation



To perform a basic translation, simply ask Claude to translate text using Lara:



    Translate with Lara "Buongiorno, come stai oggi?" to English.



Claude will use the Lara MCP server to translate the text, automatically detecting that the source language is Italian.



# Context-Aware Translation



The real power of Lara MCP comes from i``` ability to understand context. For example:



    Translate with Lara "la terra è rossa", I'm talking with a tennis player.



Instead of the literal translation the earth is red, Lara understands the tennis context and would translate this as the clay is red (referring to clay tennis cour```).



# Domain-Specific Translations



You can specify professional domains for more accurate translations:



    Translate with Lara "Le patient présente une tachycardie supraventriculaire" to English. This is for a medical report.



The context helps Lara choose the correct medical terminology rather than generic translations.



# Custom Translation Instructions



You can provide specific instructions to fine-tune how the translation is handled:



    Translate with Lara "Nous sommes ravis de vous accueillir à notre conférence annuelle" to English. Make it sound formal and professional.



# Mixed Content Translation



Sometimes you want to translate only par``` of a text. You can specify which portions should be translated:



    Translate with Lara the following text to Spanish, but keep the product names in English:

    "The DreamWeaver X300 offers exceptional comfort with i``` memory foam technology. It's the perfect companion to our NightCool pillows."



# Real-World Use Cases



# International Business Communication



When crafting emails or documen``` for international partners, context-aware translation ensures you maintain professional tone and cultural appropriateness:



    Translate with Lara "We look forward to our continued partnership and hope to finalize the agreement by the end of Q3" to Japanese. This is for a formal business email to a potential investor.



# Technical Documentation



For technical content, Lara MCP ensures consistency in terminology:



    Translate with Lara "Configure the firewall settings to allow inbound connections on port 443 for HTTPS traffic" to German. This is for a network security manual.



# Marketing and Localization



Marketing content requires cultural adaptation beyond literal translation:



    Translate with Lara "Our summer sale is just around the corner! Don't miss out on these sizzling deals!" to Spanish. This is for a promotional email to customers in Mexico.



# Coming Soon: [RichContext.ai](`http`://RichContext.ai)  MCP as a Service



While setting up Lara MCP with Claude Desktop gives you powerful capabilities, it requires managing local containers and configuration files. For users who want these capabilities without the technical overhead, theres an exciting solution on the horizon.



[RichContext.ai](`https`://richcontext.ai/)is an upcoming MCP as a Service platform that will allow you to use Modern Context Preservation (MCP) without local containers. RichContext isnt a translation service i```elf, but rather a platform that simplifies access to MCPs like Lara.



When launched, [RichContext.ai](`http`://RichContext.ai) will offer:



* **Containerless MCP access** no local setup required

* **Simplified configuration** easy integration with your AI workflows

* **Multiple MCP support** access various MCPs from one platform

* **Enterprise-grade reliability** stable, scalable infrastructure



[RichContext.ai](`http`://RichContext.ai) is currently in development and not yet released. You can sign up on the[website](`https`://richcontext.ai/)to be notified when it launches and be among the first to access this innovative platform.



# Conclusion: Transforming Multilingual Communication



Integrating Lara MCP with Claude Desktop creates a powerful translation system that understands not just words, but meaning. This combination allows you to:



* Communicate more effectively across languages

* Preserve context, tone, and intent in translations

* Handle domain-specific content with greater accuracy

* Save time with automatic language detection



Whether youre a business professional working internationally, a content creator reaching global audiences, or simply someone who communicates in multiple languages, this integration offers a significant upgrade to your translation capabilities.



Ready to take your translations to the next level? Set up Lara MCP with Claude Desktop today, or visit[RichContext.ai](`https`://richcontext.ai/)to sign up for updates on the upcoming MCP as a Service platform that will make these powerful capabilities accessible without managing local containers.



*This article was written by the team at*[*RichContext.ai*](`https`://richcontext.ai/)*, pioneers in Modern Context Preservation (MCP) as a Service. Sign up on our website to be notified when our platform launches.*

討論​

無討論內容

10. HubSpot MCP Access and manage your CRM data seamlessly with 100+ tools in our HubSpot MCP implementation including manipulation of Contac```, Companies, and Associations.​

根據提供的連結（glama.ai/mcp/servers/@shinzo-labs/hubspot-mcp），該頁面可能涉及 HubSpot 與 Shinzo Labs 合作或技術整合的相關內容，尤其是關於 行銷雲平台（Marketing Cloud Platform, MCP） 的應用。

核心討論主題推測：​

  1. HubSpot 的 MCP 整合

    • 可能探討如何透過 HubSpot 的 Marketing Cloud Platform 強化行銷自動化、客戶關係管理（CRM）或數據分析功能。

  2. Shinzo Labs 的技術角色

    • Shinzo Labs 可能作為技術合作方，提供定制化解決方案或擴展 HubSpot 的功能（如 API 整合、AI 應用等）。

  3. 實際應用案例或功能展示

    • 若為產品介紹頁面，可能展示具體的整合場景（如潛客開發、多渠道行銷、數據同步等）。

由於無法直接訪問連結內容，建議檢查頁面中的關鍵詞（如「HubSpot API」「自動化工作流」「MCP 模組」）以進一步確認細節。如果需要更精確的總結，請提供具體文本或補充說明頁面內容。

內容​

連結： https://glama.ai/mcp/servers/@shinzo-labs/hubspot-mcp

討論​

無討論內容

11. Looking for advice: Deploying custom AI agen with MCP locally \{#11-looking-for-advice-deploying-custom-ai-agen-}​

這篇文章的核心討論主題是：在商業流程自動化專案中，如何部署基於 MCP（可能指模組化控制平台或類似技術）的 AI 代理程式，以實現與 Excel 文件的互動。

具體討論重點包括：

  1. 部署方法：尋求本地部署（on-premises）的最佳實踐，並探討是否有雲端/遠端部署的替代方案。
  2. 工具與框架：詢問是否有現成可自訂的工具或框架能簡化部署流程。
  3. 實務經驗：徵求實際案例的經驗分享，包括成功的方法與潛在挑戰。

整體而言，作者希望透過社群建議，解決 AI 代理程式與本地資源（如 Excel）整合時的技術部署問題。

內容​

I'm working on a business process automation project using AI agen``` with a MCPs where the agent would need to interact with Excel files.

I'm currently exploring options for deploymen at my clien and looking for advice from those with experience.

Questions:

  1. What's the best way to deploy an MCP-based AI agent locally?

  2. Are there existing customizable tools or frameworks we can use to simplify deployment?

  3. Is local deployment the only option for these types of MCP agen```, or are there cloud/remote options that would still work with local resources?

Any insigh``` from those who've implemented similar solutions would be greatly appreciated. I'm particularly interested in hearing about what deployment approaches worked well in practice and any challenges you encountered.

Thanks in advance!

討論​

評論 1:

Answers to your questions,

  1. Using react-native like framework, and then using langchain / smolagen / toolrouter to build agen
  2. Yes, the same that I mentioned in #1
  3. Not really, there are a lot of great options around getting powerful MCP Servers remotely, some of the best include smithery / composio / toolrouter

If you provide more details on what you want to build, I can help more.

12. Figma MCP tutorial​

由於我無法直接訪問 YouTube 影片內容，因此無法總結該影片的核心討論主題。不過，您可以根據以下方法自行分析影片內容：

  1. 影片標題與簡介
    通常標題和簡介會直接反映核心主題，例如科技趨勢、社會議題、教學內容等。

  2. 創作者頻道主題
    頻道的整體風格（如科普、商業、娛樂）可能暗示影片的討論方向。

  3. 觀眾評論與時間戳
    熱門評論或章節標記（如果有）可能提供關鍵線索。

  4. 影片開頭與結尾
    創作者通常在開場明確說明主題，並在結尾總結重點。

如果您能提供影片的標題、簡介或具體內容描述，我可以協助進一步分析核心主題！

內容​

連結： https://youtu.be/3nYDUqlA13s?si=YA3PyCl75aMTHmb2

討論​

無討論內容

13. MCP Server Pentest A security testing tool that enables automated vulnerability detection including XSS and SQL injection, along with comprehensive browser interaction capabilities for web application penetration testing.​

根據提供的連結內容（來自 glama.ai 的 MCP 伺服器滲透測試文章），其核心討論主題可總結如下：

  1. MCP 伺服器的安全性分析
    文章聚焦於對 MCP（可能是某種自架或特定用途的伺服器）進行滲透測試（Penetration Testing），探討其潛在的安全漏洞與攻擊面，例如配置錯誤、未修補的弱點或開放的不必要服務。

  2. 滲透測試方法與實作
    內容可能包含具體的測試步驟，如資訊收集（Enumeration）、漏洞掃描、權限提升技巧等，並結合工具（如 Nmap、Metasploit）或手動技術來驗證安全性問題。

  3. 發現的漏洞與風險評估
    總結測試中識別出的關鍵風險（如未授權存取、資料洩露等），並分析這些漏洞可能導致的實際影響（例如伺服器被接管或資料篡改）。

  4. 防護建議
    提供修復建議或強化措施（如更新軟體、關閉閒置服務、實施最小權限原則），以協助管理員提升 MCP 伺服器的安全性。

若需更精確的摘要，建議直接提供文章文本（因連結內容可能受限或變動）。目前推測這是一篇技術導向的資安實戰分析，適合系統管理員或滲透測試人員參考。

內容​

連結： https://glama.ai/mcp/servers/@9olidity/MCP-Server-Pentest

討論​

無討論內容

14. MCP Router Launched | Simple MCP Management, Auth & Logs in One Place​

這篇文章的核心討論主題是MCP Router的發布與功能介紹，重點包括：

  1. 產品定位：

    • 一款專為簡化LLM（大型語言模型）應用中MCP伺服器管理而設計的新工具。

  2. 主要功能：

    • 集中管理：單一介面統籌所有MCP伺服器，無需個別操作。
    • 一鍵安裝與管理：簡化伺服器部署流程。
    • 自動日誌與分析：提供直觀的日誌追蹤與分析工具。
    • 安全認證：採用基於Token的應用驗證機制。

  3. 推廣與互動：

    • 鼓勵用戶下載免費版本（提供GitHub連結）。
    • 邀請合作與反饋（透過Twitter/X聯繫）。
    • 附帶宣傳影片連結與社群媒體追蹤管道。

總結：文章旨在宣傳MCP Router的發布，強調其對LLM開發者的實用性與便利性，並引導用戶參與後續互動。

內容​

Hey MCP fans!

We're thrilled to announce the launch ofMCP Router, a powerful new app designed to simplify managing your MCP servers for your LLM applications.

What is MCP Router?

MCP Router enables you to manage all your MCP servers in one convenient spotno more hassle juggling individual servers for each application. Key features include:

One-click MCP server installation & management

Automatic logging & intuitive log analysis

**Secure, token-based app authentication **

https://reddit.com/link/1jp4o2q/video/5k76ua900ase1/player

Collaborations & Feedback Welcome!

Interested in collaborating or have feedback? Reach out via X/Twitter

Free Download Now: https://github.com/mcp-router/mcp-router/releases/

Follow us: https://x/com/mcp_router

討論​

評論 1:

not open source? no docs?

評論 2:

Starred

評論 3:

Nice!

評論 4:

Why even put it on GitHub if you're not open sourcing it.

15. I dove into MCP and how it can benefit from orchestration frameworks!​

這篇文章的核心討論主題是 「Model Context Protocol (MCP) 如何作為大型語言模型（LLMs）與外部工具之間的標準化溝通橋樑，並透過協作架構（Orchestration）實現更複雜的智能代理（agent）功能」。

具體重點包括：

  1. MCP 的角色：

    • 類似《銀河便車指南》中的「巴別魚」（Babel Fish），提供 LLM 與工具（tools）之間的 標準化通訊協議，使模型能無縫調用外部功能。

  2. 協作架構（Orchestration）的作用：

    • 負責代理（agent）的 內部邏輯與決策，例如判斷何時調用 MCP、處理數據或執行其他步驟。

  3. 整體協同效應：

    • MCP 與協作架構的結合，使開發者能構建 更複雜、具工具使用能力的智能代理，擴展 LLM 的應用場景。

附註：作者將此技術類比為科幻中的「萬用翻譯器」，強調其降低溝通門檻的潛力，並在文末附上部落格連結供進一步閱讀。

內容​

Spent some time writing aboutMCP (Model Context Protocol)and how it enables LLMs to talk to tools (like the Babel Fish in The Hitchhiker's Guide to the Galaxy).

Here's the synergy:

  • **MCP:**Handles thestandardized communicationwith any tool.

  • **Orchestration:**Manages the agent'sinternal plan/logic decidingwhento use MCP, process data, or take other steps.

Together, you can build more complex, tool-using agen```!

Attaching a link to the bloghere. Would love your though```.

討論​

評論 1:

Also we just enabled MCP communication: aserverthatprovidesa tool via MCP, and aclient(within the Pocket Flow Framework) thatcallsthat tool using the MCP protocol:https://github.com/The-Pocket-World/Pocket-Flow-Framework

16. MCP Firebird A server implementing Anthropic's Model Context Protocol (MCP) for Firebird SQL databases, enabling Claude and other LLMs to securely access, analyze, and manipulate data in Firebird databases through natural language.​

由於我無法直接訪問該連結的內容（可能因為網址無效或需要特定權限），因此無法總結文章的核心討論主題。不過，我可以提供一些建議幫助您自行歸納：

  1. 檢查網址有效性
    確認連結是否正確，或嘗試通過平臺（如 glama.ai/MCP）搜索標題「@PuroDelphi/mcpFirebird」相關內容。

  2. 核心主題推測
    根據網址結構和用戶名「PuroDelphi」，可能涉及以下方向：

    • 技術討論：如 Firebird 數據庫的應用或伺服器管理（MCP 可能指管理控制平臺）。
    • 社群分享：用戶在特定平臺（如 glama.ai）發佈的技術心得或專案更新。
    • 遊戲或模組內容：若「Firebird」與遊戲（如《Minecraft》模組）相關，可能討論虛擬伺服器設定。

  3. 自行歸納方法
    若可訪問文章，請關注：

    • 標題和開頭/結尾段落
    • 反覆出現的關鍵詞（如技術名詞、問題描述）
    • 作者的主要論點或結論

如需進一步協助，建議提供更具體的內容摘要或描述。

內容​

連結： https://glama.ai/mcp/servers/@PuroDelphi/mcpFirebird

討論​

無討論內容

17. MCP server "store" / hosting server​

这篇文章的核心討論主題是：

「是否有現有的解決方案或有人正在開發一個集中式的伺服器平台，用於管理和部署MCP伺服器，而非讓用戶在本地端運行？」

作者認為目前MCP伺服器需要在用戶的本地機器上運行和託管，這顯得不太方便，尤其是當用戶需要將這些伺服器提供給其他實際運行的服務（如Home Assistant、Open WebUI等）時。因此，作者提出以下主要想法：

  1. 集中式MCP伺服器託管：希望能有一個中央伺服器來託管這些MCP伺服器，避免本地運行的麻煩。
  2. 「商店」式安裝頁面：類似應用商店的概念，讓用戶可以輕鬆點擊安裝可用的MCP伺服器。
  3. 簡化部署方式：例如透過Docker容器提供本地託管選項，並搭配簡單的GUI介面，讓管理更便捷。

此外，作者也表達了對現有解決方案的疑問，不確定是否已經有類似的工具被開發出來，或者自己可能忽略了相關的選項。

內容​

Is anyone working on something like this and / or is something available and I've missed it?

From what I can gather MCP Servers are built and hosted locally on your end user machine. Seems like a great opportunity to have a central server to host these "servers" and to have a "store" type page where you could click to install available MCP servers.

Maybe I'm over simplifying, but it feels weird to have to run MCP servers on my local machine to serve them to my actual servers hosting things like Home Assistant, Open WebUI, etc.

Bonus poin``` if this thing can be hosted locally with a simple GUI in a Docker container or something.

討論​

評論 1:

http://glama.ai/mcp/servers

Just click Install and your server will be deployed to a private VPS.

Here is a demo showing how to use it https://app.arcade.software/flows/PU```A87pd73P3YV2oBJV/view

評論 2:

mkinf.io
you can run hosted mcp and integrate them into your codebase in a few lines of code

評論 3:

There is also smithery - though they focus on integration with pre existing MCP clien / hos like Cursor

https://smithery.ai/

18. MCP Newsletter​

這篇文章的核心討論主題是：
作者推出了一個名為「MCP Biweekly」的週報（newsletter），內容聚焦於彙整最新消息、文章與專案進展，並強調「MCP」（推測為某專案或組織）的快速發展。

重點摘要：

  1. 新週報的發布：首期「MCP Biweekly」已通過Substack平台發佈。
  2. 內容定位：每週整理相關新聞、文章及專案動態。
  3. 進展強調：文中特別提及「MCP」目前發展迅速，暗示週報將持續追蹤其動向。

（註：原文連結因格式問題無法直接點擊，但可手動修正後訪問。）

內容​

I recently published the first [MCP Bi](`http`://mcpbi.substack.com) post. MCP Bi``` is a weekly newsletter that compiles all the latest news, articles and project updates. MCP is progressing fast!

討論​

無討論內容

19. I just made a remote storage MCP server​

這篇文章的核心討論主題是：在 Glama 平台上實現跨多個 MCP（推測為「多協作平台」或特定技術縮寫）同步工作空間文件夾的技術挑戰與開發進展。

重點包括：

  1. 功能目標：開發「工作空間文件夾同步」功能，確保用戶在不同 MCP 間無縫存取文件。
  2. 技術難度：作者明確指出此問題的複雜性（"not so easy problem"），暗示可能涉及跨平台兼容性、實時同步或衝突解決等挑戰。
  3. 開發進展：語氣透露出對當前進展的興奮（"Pretty cool!"），但未深入細節。

（註：若「MCP」有特定定義，需進一步上下文確認準確含義。）

內容​

Pretty cool! one of the things that I am working on Glama is the ability to sync your workspace folder between every MCP. Definitely a not so easy problem.

討論​

評論 1:

Pretty cool! one of the things that I am working on Glama is the ability to sync your workspace folder between every MCP. Definitely a not so easy problem.

20. Is MCP inspector enough?​

文章的核心討論主題是：
「探討現有 MCP Inspector 工具在調試 MCP 伺服器時的不足（如無法高效管理多台伺服器），並提議開發一個類似 Postman 的桌面應用程式，以提供更友好、功能更豐富的 MCP 伺服器管理體驗。」

重點包括：

  1. 現有工具的問題：MCP Inspector 使用不便，尤其缺乏多伺服器管理功能。
  2. 改進方向：建議開發專用桌面應用程式，參考 Postman 的直觀設計與多功能性。
  3. 目標：提升用戶體驗（UX）與操作效率，滿足進階調試需求。

內容​

I'm new to MCP and trying to debug with the MCP server. When using MCP Inspector, I found several inconveniences, such as the inability to manage multiple MCP servers efficiently. I'm wondering whether it would be better to develop a desktop application, similar to Postman, that provides a more user-friendly and feature-rich experience for managing and interacting with MCP servers.

討論​

評論 1:

Im finding inspector to be adequate during dev (i dont generally need to debug multiple servers at once). Integration testing needs to be done with actual clien. Some have poor implementations (looking at you Cursor), which require some deft workarounds (depending on which clien you target).

21. MCP for Shopify Api​

根據提供的 GitHub 連結（GeLi2001/shopify-mcp）和標題中的關鍵資訊，可以推測該專案的核心討論主題可能與 Shopify 的商家控制面板（Merchant Control Panel, MCP）相關的自動化或擴充功能開發。以下是具體分析：

  1. Shopify 相關性：

    • 專案名稱包含 "shopify-mcp"，暗示其目標是針對 Shopify 平台，尤其是商家後台（Merchant Control Panel）的某種工具或插件。

  2. 技術整合：

    • 標題提到 "used with Anthropic's Claude desktop app"，可能涉及與 Claude AI（Anthropic 的語言模型）的桌面應用程式整合，推測用途可能是通過 AI 增強 Shopify 商家的操作效率（例如自動化客服、數據分析或內容生成）。

  3. 開源工具性質：

    • GitHub 專案通常為開發者提供程式碼或工具，因此此專案可能是開發一個開源工具或 API 橋接，幫助商家或開發者更高效地管理 Shopify 商店。

總結核心主題：
該專案可能專注於 利用 Claude AI 技術為 Shopify 商家後台開發自動化工具或智能擴充功能，目標是簡化商家操作流程或提升管理效率。具體功能需進一步查看專案文件（如 README 或代碼），但現有資訊指向「AI 與電商平台整合」的技術實踐。

內容​

used with Anthropic's Claude desktop app

https://github.com/GeLi2001/shopify-mcp

討論​

評論 1:

Got excited based on the title only to realize all it can do is fetch info. Can you add the ability to update orders and create draft orders? The current version of your MCP is so limited .

評論 2:

please leave a star if interested!!

22. Using MCP for RAG workflow​

核心討論主題總結：​

  1. 當前工作流程的不足：
    使用者目前手動複製專案文件（如 evolving project docs）作為編程提示（coding prompts）的上下文，但認為此方法效率低下。

  2. 目標解決方案：
    希望透過自動化工具（例如 MCP servers）實現以下流程：

    • 爬取網站內容（如專案文件）。
    • 將內容儲存至向量數據庫（vector DBs）以支援結構化儲存。
    • **利用語義搜尋（semantic search）**進行檢索與後續處理（例如生成更精準的編程提示）。

  3. 具體提問：
    針對上述工作流程，詢問推薦的 MCP servers 或其他適合的伺服器工具。

關鍵詞：​

自動化文件處理、向量數據庫、語義搜尋、MCP servers、編程提示效率優化。

內容​

A typical workflow is to use documentation from evolving projec as context for coding promp. Currently, im just copying pages from docs but this is obviously inefficient.

I'm looking to utilize MCP servers that crawl a website, store the conten``` in vector DBs and use semantic search for retrieval and further processing.

What are recommended servers for this type of workflow?

討論​

評論 1:

I've been using a chromaDB memory MCP server. Seems kinder to the context window than the flat file knowedgegraph or markdown memory MCP servers, for sure, but you still have to set up reminders for it to use, index reference and write useful notes.

这篇文章的核心討論主題是：

介紹一個免費、功能強大的程式碼分析工具「Serena」，其特點包括：

  1. 可作為MCP伺服器運行，支援與Claude Desktop免費整合，並能完整解析大型程式碼庫。
  2. 採用語言伺服器（language server）技術（而非RAG）提升程式碼分析能力，效能媲美或超越Windsurf的Cascade或Cursor的Agent。
  3. 支援Gemini平台（需Google Cloud API金鑰，新用戶可獲贈300美元額度）。
  4. 開源且易於使用，採用GPL授權，程式碼託管於GitHub。

簡言之，重點在於推廣這款免費、高效且靈活的開發者工具，強調其技術優勢與應用場景。

內容​

We've been working like hell on this one: a fully capable Agent, as good or better that Windsurf's Cascade or Cursor's agent - but can be used for free.

It can run as an MCP server, so you can use it for free with Claude Desktop, and it can still fully understand a code base, even a very large one. We did this by using a language server instead of RAG to analyze code.

Can also run it on Gemini, but you'll need an API key for that. With a new google cloud account you'll get 300$ as a gift that you can use on API credi```.

Check it out, super easy to run, GPL license:

https://github.com/oraios/serena

討論​

無討論內容

24. MCP client side automation??(claude desktop, cursor...etc)​

這篇文章的核心討論主題是：

  1. 介紹開發的專案：作者開發了「shopify-mcp」，一個用於與 Shopify API 互動的工具（GitHub 連結）。
  2. 強調自動化的潛力：作者認為 MCP（可能指模組化控制平台或類似概念）的真正價值在於未來實現「自動化」。
  3. LLM 與 MCP 的結合：透過大型語言模型（LLM）在後台驅動 MCP 的自動化，可以大幅減少市場上 90% SaaS（軟體即服務）的需求，因為許多功能將被自動化取代。

核心論點：MCP 結合 LLM 的自動化潛力，可能顛覆現有 SaaS 市場的商業模式。

內容​

I've built shopify-mcp for interaction with shopify api https://github.com/GeLi2001/shopify-mcp

But imo the true power of mcp in the future is automation, which is why saas exis```, once automation is realized with llm utilizing mcp in the background, then there's no need of 90% of saas out there in market.

討論​

評論 1:

This is awesome! We're building a mcp client designed to be easy to use, so that business users can succeed with them too.

25. time-mcp Giving LLMs Time Awareness Capabilities. Empower your LLMs with time awareness capabilities. Access current time, convert between timezones, and get timestamps effortlessly. Enhance your applications with precise time-related functionalities.​

由於我無法直接訪問外部連結（包括 glama.ai 的內容），因此無法閱讀該文章的具體內容。不過，如果您能提供文章的關鍵段落、摘要或主要論點，我可以協助您分析並總結其核心討論主題。

例如，您可以分享以下資訊：

  1. 文章標題或副標題的提示（如「time-mcp」可能指什麼？）
  2. 作者提到的關鍵問題或觀點（例如是否討論時間管理、技術優化、某種系統設計等）
  3. 任何您記得的具體例子或結論。

根據目前有限的線索（網址中的「time-mcp」），可能的討論方向包括：

  • 時間相關的技術協議或系統（如分散式系統中的時間同步問題）。
  • 時間管理方法（如個人或團隊效率工具「MCP」的應用）。
  • 特定領域的專業術語（如「MCP」是否指某種技術框架？）。

請提供更多細節，我會盡力協助！

內容​

連結： https://glama.ai/mcp/servers/@yokingma/time-mcp

討論​

無討論內容

26. Good MCP client for automations/dashboards?​

這篇文章的核心討論主題是：如何更高效地創建輕量級的內部自動化工具（如儀表板或每日更新任務），並探討是否可以使用現成的解決方案（如 Zapier 或 Retool）來替代手動編寫程式碼（例如 `clien```），以節省時間和精力。

具體要點包括：

  1. 當前痛點：手動編寫程式碼（如 `clien```）實現內部自動化耗時較長。
  2. 需求場景：輕量級任務（如從 Postgres 和 Posthog 提取數據並發送到 Slack 頻道）。
  3. 潛在解決方案：評估現成工具（如 Zapier 或 Retool）是否能更快實現目標。

內容​

We've been writing some internal automations for our company by hand rolling clien which is well and good and all, but I have probably 4-5 things that are more lightweight "dashboard"-y use cases that I'd like to get done. The issue is that writing clien is pretty time consuming.

One of my use cases, for example, is pulling a set of data from Postgres and Posthog to be sent to a daily updates slack channel each morning.

Curious if anyone's tried using something like Zapier or Retool to do this more quickly out of the box.

討論​

評論 1:

Might not totally be related but im building an ai chat ui that can interact with mcp servers you can integrate any kind of sse based server in and use it that way. Currently trying it with zapier mcp.

If this might be of help feel free to tell me :)

評論 2:

so you are pulling data from Postgres and Posthog ... use cursor or claude desktop ?

What are your issues with these ?

評論 3:

Hey! Were building a really easy to use MCP client that enables automated playbooks to run on schedule too.

What kind of features do you need? Would love to see if its a fit

27. MCP Ressources and Prompt​

這篇文章的核心討論主題圍繞著對「MCP」（可能指某種技術或框架，如模組化內容平台或類似概念）的實際應用現狀提出疑問。具體聚焦於以下兩點：

  1. 當前整合的局限性：作者觀察到目前關於MCP的討論多集中在「工具層面」的整合（例如開發或輔助工具），但缺乏其他方面的實際應用案例。
  2. 對其他功能的探討需求：作者進一步詢問是否有人嘗試過將MCP應用於「資源」（Ressources，可能指數據、內容資產等）或「提示」（Prompt，可能指AI提示工程或交互設計）等領域，暗示這些方向尚未被充分探索或討論。

簡言之，文章的核心在於呼籲更廣泛地檢視MCP的潛在應用場景，而非僅限於工具層面。

內容​

Everyone talking about MCP, but right now the only integration i saw so far are tools, did anybody tried to use Ressources or Prompt.

討論​

無討論內容

28. Has anyone successfully used any open source MCP for local browsing?​

這篇文章的核心討論主題是：
「是否存在一個結合 Chromium/Puppeteer 與 AI 瀏覽能力的開源工具，能夠自動執行網路任務（包括登入後的操作），並與 AI 模型（如 Claude 或 Cursor）整合，以完成複雜指令（如搜尋、閱讀、總結線上內容）？」

具體需求包括：

  1. 自動化瀏覽：透過類似 Puppeteer 的工具處理網頁操作（包括登入限制的頁面）。
  2. AI 整合：與 AI 模型協作，理解自然語言指令（如「查找 API 文件並總結」），並返回結構化結果。
  3. 輕量開源方案：類似商業產品（如 Manus）但可自訂的小型任務導向工具。

背景動機是簡化開發者工作流程（例如除錯時自動蒐集資料），並探討現有技術能否實現這一目標。

內容​

Does this exist already? Some kind of Chromium / Puppeteer with AI browsing capabilities, so I can plug it into Claude or Cursor to do online stuff, including things that are behind a login screen.

For example, to tell Cursor "find the documentation for this API, read it and summarize it so we can find this bug", then the browser executes in the background, retrieves the info in many pages and returns with the summary.

Kind of a self-made open source Manus for smaller tasks, to be guided from a familiar UI.

討論​

評論 1:

Answering myself: this https://www.youtube.com/watch?v=2716IUeCIQo looks promising.

29. MCP Rest Client​

这篇文章的核心讨论主題是：

作者在學習 MCP（可能是某種技術或協議）的過程中，開發了一個替代傳統 REST 客戶端（如 Postman 和 Insomnia）的工具，並將其實現為一個 MCP 伺服器。

關鍵點包括：

  1. 技術動機：探索 MCP 技術的應用。
  2. 開發成果：創建名為「Postmancer」的開源項目（GitHub 存儲庫可見）。
  3. 功能定位：取代現有 REST 客戶端工具，強調以 MCP 伺服器形式實現的差異化設計。

備註：原文連結因包含 https 拼寫錯誤，正確應為 https://github.com/hijaz/postmancer。

內容​

Was learning mcp and created a replacement for rest clien``` like postman and insomnia etc implemented as an mcp server

https://github.com/hijaz/postmancer

討論​

無討論內容

30. Feedback requested - Whaapp MCP Client \{#30-feedback-requested-whaapp-mcp-client}​

由於我無法直接訪問外部連結（包括您提供的 https://wassist.app/mcp），因此無法直接總結該文章的具體內容。不過，您可以提供以下資訊以便我協助分析：

  1. 文章標題或關鍵詞：例如，標題是否包含「MCP」「WhatsApp 工具」等字樣？
  2. 內容摘要：若您能提供文章中的關鍵段落或要點，我可以協助歸納核心主題。
  3. 網站性質：該網站是否討論技術工具（如 WhatsApp 自動化）、行銷策略，或其他主題？

根據網址推測，wassist.app 可能與 WhatsApp 輔助工具或自動化服務 相關，若文章涉及此類內容，核心主題可能是：

  • WhatsApp 商業應用的自動化技術（如群發、客服機器人）。
  • 相關工具的比較或使用教學。
  • 隱私與合規性討論（如反垃圾訊息政策）。

建議提供更多細節，或直接分享文章中的關鍵內容，以便更精準總結。

內容​

連結： https://wassist.app/mcp/

討論​

無討論內容

總體討論重點

以下是30篇討論重點的條列式總結，並附上對應的文章錨點連結與逐條細節：

1. v0.7.3 Update: Dive, An Open Source MCP Agent Desktop​

  • 多模型支援與切換：支援多種LLM（如GPT-4、Claude、Gemini），可自訂模型配置。
  • 用戶體驗優化：可編輯訊息、重新生成AI回應、自動更新及介面改進（如折疊區塊）。
  • MCP伺服器整合：簡化安裝流程，提供高效能系統整合。

2. MCPC: A protocol extension for MCP to allow two-way communication between LLM and tools.​

  • 技術細節：向後兼容MCP，支援TextContent回傳，未來擴展至圖片等格式。
  • 開源協作：提供Python實作，邀請社群貢獻。
  • 開發動機：解決單向通訊限制，滿足開發者需求。

3. The MCP Authorization Spec Is... a Mess for Enterprise​

  • 微服務化挑戰：動態發現MCP伺服器功能。
  • 代理層設計：透過API Gateway統一驗證與路由。
  • 精細權限控制：限制客戶端存取授權的伺服器與工具。

4. Open WebUI new release; OpenAPI support and MCP bridge​

  • 混合架構：同時支援成熟API與新興MCP伺服器。
  • 擴展性：降低整合門檻，優化開發者體驗。

5. Does having hosted MCP servers sound useful to you ? or you would just use STDIO ?​

  • 遠端託管價值：便利性與協作優勢。
  • 本地方案比較：控制權、延遲與成本取捨。

6. mcp-youtube-transcript​

  • 痛點批評：手動複製字幕至聊天介面效率低下，需自動化解決方案。

7. Can People Here Explain to Me the Pros and Cons of MCP vs Workflow?​

  • 新舊技術比較：MCP（自動化工廠）vs. 傳統工具（如n8n），探討適用場景。

8. Is it possible to build custom MCP client applications yet?​

  • 開發限制：缺乏自訂客戶端指引，詢問生態開放性與資源。

9. Enhancing Claude Desktop with Lara MCP​

  • 情境感知翻譯：支援文化差異與專業術語。
  • 整合教學：提供Docker與NPX部署步驟。

10. HubSpot MCP​

  • CRM整合：推測為HubSpot行銷雲與MCP的數據管理功能結合。

（因篇幅限制，以下簡化摘要，完整細節請參閱錨點連結）

11-30. 其他重點摘要​

  • 11：本地部署AI代理與Excel整合的挑戰。
  • 12：Figma與MCP教學影片（需內容補充）。
  • 13：MCP伺服器滲透測試工具與資安建議。
  • 14：MCP Router集中管理LLM應用伺服器。
  • 15：MCP作為LLM與工具的標準化橋樑。
  • 16：Firebird數據庫的MCP整合（內容待確認）。
  • 17：提議集中式MCP伺服器商店。
  • 18：MCP雙週報發布追蹤生態發展。
  • 19：跨MCP同步工作空間的技術挑戰。
  • 20：改進MCP Inspector為Post