didengren

didengren / micro-app-mcp

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该项目是一个专门用于查询 micro-app 微前端框架知识库的 MCP Server

13
0
89% credibility
Found Mar 02, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A helper server that creates a searchable knowledge base from the micro-app project's documentation and source code, allowing semantic queries via simple commands.

How It Works

1
🔍 Discover micro-app

You hear about the micro-app framework and want quick answers from its docs and code without digging everywhere.

2
📦 Get the helper

Download this simple knowledge keeper that gathers all micro-app info into one smart place.

3
🚀 Start your assistant

Turn on the helper with a single click, and it quietly builds its knowledge brain in the background.

4
💬 Ask questions

Chat naturally with your AI buddy, saying things like 'what is micro-app?' to get instant smart matches.

5
Need more?
📊
Check status

See when knowledge was last updated and if it's current.

🔄
Refresh knowledge

Tell it to pull the latest docs and code for up-to-date answers.

🎉 Master micro-app

You now get precise code snippets and explanations effortlessly, speeding up your learning and building.

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Star Growth

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AI-Generated Review

What is micro-app-mcp?

micro-app-mcp is a Python MCP server that powers semantic search over the micro-app micro-frontend framework's knowledge base, pulling from its GitHub repo and docs site. Developers get instant answers on micro-app concepts, code examples, and APIs via tools like search_micro_app_knowledge or /micro commands in AI chats. Run it via CLI with stdio or HTTP transports for quick integration into agents.

Why is it gaining traction?

It stands out by specializing in micro-app queries, auto-updating its vector store from jd-opensource/micro-app sources, and handling status checks or forced refreshes on demand. The MCP protocol hooks directly into AI workflows without setup hassle, delivering prioritized docs or code snippets based on query intent. Low overhead Python server means it spins up fast for targeted knowledge retrieval.

Who should use this?

Micro-app users debugging framework quirks or integrating subapps in large frontends. AI agent builders needing reliable micro-app context without manual scraping. Teams evaluating micro-app github resources via natural language over raw searches.

Verdict

Worth a spin for micro-app heavyweights despite 13 stars and 0.9% credibility score signaling early maturity—solid tests and pyproject.toml packaging help, but expect tweaks for production. Pair with GITHUB_TOKEN for full updates; skip if you need broad framework coverage.

(178 words)

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