MCP Documentation Server
Provides semantic search capabilities for MCP documentation using Redis embeddings, enabling document search, listing, and content retrieval.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Documentation Serverhow 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
Related MCP server: Markdown RAG MCP
Setup
python -m venv venv
source venv/bin/activate
pip install -r requirements.txtUsage
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
{
"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 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
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