MCP Docs Server
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 Docs Serversearch for how to implement authentication in FastAPI"
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 Servers
A collection of Model Context Protocol (MCP) servers for AI assistants.
Servers
mcp-docs
A documentation search server that provides semantic search over multiple documentation sources. Supports ingesting docs from llms.txt files or via Firecrawl web scraping.
mcp-todos
A multi-project TODO management server. Includes both an MCP server for AI assistants and a CLI (todo) for human use.
# Quick add a todo
todo Buy milk, eggs, and butter
# List todos
todo list
# Mark as done
todo done abc123Related MCP server: RagDocs MCP Server
Development
This is a Bun monorepo. To get started:
# Install dependencies
bun install
# Run a server in development
cd servers/todos
bun dev
# Build for production
bun run buildLicense
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseNot gradedqualityNot gradedmaintenanceCrawls documentation websites and provides semantic search capabilities over the content through vector embeddings, enabling natural language queries of technical documentation.2
- AlicenseNot gradedqualityDmaintenanceEnables semantic search and management of documentation through vector similarity using Qdrant and Ollama/OpenAI embeddings.15Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables scraping and searching documentation websites using semantic or keyword search, with support for multiple deployment modes.
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to search and retrieve information from large technical documentation (OpenAPI specs, markdown) via intelligent chunking and semantic search.MIT
Related MCP Connectors
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
Search your knowledge bases from any AI assistant using hybrid RAG.
Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.
Appeared in Searches
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MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/dnys1/mcp'
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