Which integrations are available for this server?

Provides semantic search capabilities for MCP documentation using Redis embeddings, enabling document search, listing, and content retrieval.

How do I use MCP Documentation Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Documentation Server how do I set up embeddings for MCP documentation?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Scrape documentation: python url_scraper.py
Create embeddings: python embed_to_redis.py
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": {} } } }