Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 431 servers and find the perfect MCPs for your needs.
SourceSync.ai
Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized Model Context Protocol (MCP) server.
Documentation
Enables Claude to access and search documentation from LangChain, LlamaIndex, and OpenAI.
Confluence AI
Enables AI-powered interaction with Confluence Cloud through a Spring Boot-based Model Context Protocol server.
Kickstart
Provides an interactive tutorial to learn Model Context Protocol (MCP) development.
Github Reader
Brings GitHub repositories into context for large language models via an API.
A2A
Showcases the technology vision, core strengths, and application scenarios of the Agent to Agent - Multi-agent Collaboration Protocol.
LLM Chat Replay
Visually replays LLM chat transcripts with typing animation and playback controls, supporting markdown chat exports.
Poke
Provides detailed Pokémon information, including stats, abilities, moves, and evolution chains, by integrating with the PokeAPI.
Aoc
Interacts with the Advent of Code website to simplify puzzle-solving.
PubNub
Exposes PubNub SDK documentation and API resources to Large Language Model (LLM)-powered tools, enhancing their ability to interact with PubNub.
Rag Based
Enables document question answering by ingesting and querying PDF documents using the GroundX API.
Learning Ai
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Penrose
Facilitates the creation of mathematical diagrams using natural language through Penrose's domain-specific languages.
Art Institute of Chicago
Enables AI models to interact with the Art Institute of Chicago Collection through natural language, making artworks available as a Resource.
Re-Stack
Integrates Stack Overflow into LLM-based coding workflows by providing real-time access to solutions and encouraging knowledge contribution.
Celestial
Calculate positions, rise/set times, and details for celestial objects using astronomical data.
YouTube Translate
Enables access to the YouTube Translate API for obtaining transcripts, translations, and summaries of YouTube videos.
Server 101
Facilitates seamless integration and interaction with various documentation sources using the Model Context Protocol (MCP).
Nasa
Retrieves astronomical data, space weather information, Earth imagery, and more from NASA's APIs via the Model Context Protocol (MCP).
Markdown Sidecar
Serves and provides structured access to markdown documentation for NPM packages, Go Modules, or PyPi packages from an MCP server.
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