MCP Documentation Server added to readme#2121
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andrea9293 wants to merge 1 commit intomodelcontextprotocol:mainfrom
Closed
MCP Documentation Server added to readme#2121andrea9293 wants to merge 1 commit intomodelcontextprotocol:mainfrom
andrea9293 wants to merge 1 commit intomodelcontextprotocol:mainfrom
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olaservo
approved these changes
Jun 17, 2025
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Thanks for your contribution to the servers list. This has been merged in this combined PR: #2143 This is a new process we're trying out, so if you see any issues feel free to re-open the PR and tag me. |
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Description
A TypeScript-based MCP server that provides document management and semantic search capabilities. Upload documents, search them with AI embeddings
Features:
📄 Document Management - Add, list, retrieve, and delete documents with metadata
🔍 Semantic Search - AI-powered search using embeddings
📁 File Upload - Drop .txt/.md/.pdf files in uploads folder for processing
🧩 Smart Chunking - Automatic text splitting for better search accuracy
🗑️ Document Deletion - Clean removal of documents and their chunks
🌍 Multilingual - Supports multiple languages with quality embeddings
💾 Local Storage - All data stored locally in ~/.mcp-documentation-server/ directory
⚡ Fast Setup - No database required, works out of the box
Server Details
Motivation and Context
How many times have you asked cursor or github copilot about new libraries, frameworks, or recent updates only to get outdated or incomplete answers?
My Solution: An MCP server that lets you "feed" fresh, up-to-date documentation directly to your AI through
How Has This Been Tested?
I am a Salesforce architect and all AIs are having trouble with LWC implementation because of syntax, metadata files and more on Salesforce platform. I uploaded Salesforce developer documentation and, I am not hallucinating anymore, the AI can understand the code better and write it.
I also uploaded MCP documentation with full-llms.txt and this was a great help for testing and implementing this same server.
some of my colleagues are also using it and they are finding it very good. tested in vs code and claude desktop
Breaking Changes
classic installation, no changes needed
Types of changes
Checklist
Additional context
Set via MCP_EMBEDDING_MODEL environment variable:
Xenova/all-MiniLM-L6-v2 (default) - Fast, good quality
Xenova/paraphrase-multilingual-mpnet-base-v2 (recommended) - Best quality, multilingual but more RAM usage
Important: Changing models requires re-adding all documents as embeddings are incompatible.