MCP Documentation Server

Semantic search server for MCP (Model Context Protocol) documentation using Redis embeddings.

THE MCP MCP for MCPing MCP's

Setup

Usage

1. Scrape documentation: python url_scraper.py

2. Create embeddings: python embed_to_redis.py

3. Run MCP server: python doc_mcp_server.py

Tools

• search_docs - Semantic search through documentation

• list_documents - List all available documents

• fetch_file - Retrieve specific file content

MCP Client Config

Files

• url_scraper.py - Scrapes MCP from mcp and convert to markdown

• embed_to_redis.py - Creates embeddings from headings and stores in Redis

• doc_mcp_server.py - FastMCP server providing search functionality

• repo_scraper.py - Processes code repositories to markdown

• output/ - Processed documentation files