Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1078servers and find the perfect MCPs for your needs.
Company Docs
Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.
Document Reader
Enables LLM interaction with EPUB and PDF documents via the Model Context Protocol (MCP).
ArXiv
Enables AI assistants to search and access arXiv papers through a simple Message Control Protocol (MCP) interface.
YouTube
Enables searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
Code Explainer
Analyzes and explains code with a comprehensive breakdown of structure and functionality.
Axiom
Create AI agents, RAG systems, and full-stack applications using natural language with this documentation-aware AI agent.
Star Wars
Interacts with the SWAPI Star Wars API to provide data on characters, planets, films, species, vehicles, and starships.
Enhanced Documentation Search
Provides AI models with real-time access to technical documentation, library popularity data, and career insights to inform software development decisions.
Pubmed
Enables AI assistants to search and analyze PubMed medical literature with advanced filtering, citations, and research tools.
GitHub Pera1
Connects GitHub code to Claude.ai by extracting code from repositories using the Pera1 service.
Lspace
Turns scattered AI conversations into persistent, searchable knowledge by capturing insights from any AI session and making them available across all your tools.
Document Processor
Extends AI assistants' knowledge by processing private documents and codebases into a searchable database.
Penrose
Facilitates the creation of mathematical diagrams using natural language through Penrose's domain-specific languages.
Agent Rules
Enables AI agents to access coding rules directly from GitHub repositories, eliminating the need for local rule files.
DocMCP
Indexes technical documentation on a local vector database and integrates with AI IDEs for semantic search.
Turbo Docs
Provides access to up-to-date documentation for Turbo.js within compatible Model Context Protocol (MCP) clients.
Haiguitang
Enables users to enjoy the lateral thinking game 'Haiguitang' (also known as Situation Puzzles) alone by utilizing a large language model as the game master.
Learning Hour
Generates comprehensive Learning Hour content and interactive whiteboard sessions for technical coaches to foster team technical excellence.
Eclass
Enables AI agents to interact with the Open eClass platform for course information and basic operations.
Lemonade Stand
Simulates the classic Lemonade Stand game, enabling play through Claude Desktop using the Model Context Protocol (MCP).
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