Provides semantic search capabilities for MCP documentation using Redis embeddings, enabling document search, listing, and content retrieval.
MCP Documentation Server
Semantic search server for MCP (Model Context Protocol) documentation using Redis embeddings.
THE MCP MCP for MCPing MCP's
Setup
Usage
Scrape documentation:
python url_scraper.pyCreate embeddings:
python embed_to_redis.pyRun MCP server:
python doc_mcp_server.py
Tools
search_docs- Semantic search through documentationlist_documents- List all available documentsfetch_file- Retrieve specific file content
MCP Client Config
Files
url_scraper.py- Scrapes MCP from mcp and convert to markdownembed_to_redis.py- Creates embeddings from headings and stores in Redisdoc_mcp_server.py- FastMCP server providing search functionalityrepo_scraper.py- Processes code repositories to markdownoutput/- Processed documentation files
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Enables semantic search and retrieval of MCP (Model Context Protocol) documentation using Redis-backed embeddings, allowing users to query and access documentation content through natural language.