Learning & Documentation Servidores MCP
Descubre nuestra colección curada de servidores MCP para learning & documentation. Explora 779 servidores y encuentra los MCP perfectos para tus necesidades.
Poke
Provides Pokémon information through a Model Context Protocol (MCP) interface.
MkDocs Search
Enables Large Language Models to search through documentation generated by MkDocs.
Doc Scraper
Scrapes web-based documentation and converts it into markdown format.
Notion Texonom
Browse and interact with an entire Notion workspace as a Model Context Protocol server, eliminating the need for individual database tokens.
Mathematica Documentation
Enables checking Mathematica code via a local Mathematica installation.
DVMCP
Provides a deliberately vulnerable Model Context Protocol (MCP) server for security research and AI/ML security learning.
Star Wars
Interacts with the SWAPI Star Wars API to provide data on characters, planets, films, species, vehicles, and starships.
Etabs Documentation Assistant
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Mapas Mentais
Generates automated mind maps to facilitate studying, reviewing, comparing, and presenting various topics.
Turbo Docs
Provides access to up-to-date documentation for Turbo.js within compatible Model Context Protocol (MCP) clients.
Deep Research
Enables Claude and other MCP-compatible AI assistants to perform comprehensive research by integrating web and academic search functionalities.
Zim
Enables AI models to access and search ZIM format knowledge bases offline.
Docs Fetch
Recursively fetches and extracts content from web pages for LLM consumption.
Rfc
Fetches, parses, and provides programmatic access to RFC documents from the IETF website.
Clanki
Connects Claude Desktop with Anki flashcards using the Model Context Protocol (MCP).
Canvas
Interfaces with the Canvas Learning Management System API to list courses, manage assignments, retrieve syllabi, and more.
OpenGenes
Provides a standardized interface to access aging and longevity research data for AI systems through the Model Context Protocol (MCP).
Cargo Doc
Provides an MCP server to manage, build, check, and search Rust documentation locally.
Enhanced Documentation Search
Provides AI models with real-time access to technical documentation, library popularity data, and career insights to inform software development decisions.
Canvas
Enables AI agents to interact with Canvas LMS for querying courses and resources.
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