MCP Documentation Server

MCP Documentation Server

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.

Category
Visit Server

README

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured