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MCP Documentation Server

by McKhanster

MCP Documentation Server

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

THE MCP MCP for MCPing MCP's

Setup

python -m venv venv source venv/bin/activate pip install -r requirements.txt

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

{ "mcpServers": { "doc-embeddings": { "command": "bash", "args": ["-c", "cd /path/to/mcp/server && source venv/bin/activate && python doc_mcp_server.py"], "env": {} } } }

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

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security - not tested
F
license - not found
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quality - not tested

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.

  1. THE MCP MCP for MCPing MCP's
    1. Setup
      1. Usage
        1. Tools
          1. MCP Client Config
            1. Files

              MCP directory API

              We provide all the information about MCP servers via our MCP API.

              curl -X GET 'https://glama.ai/api/mcp/v1/servers/McKhanster/mcp-mcp'

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