Learning & Documentation Servidores MCP

Lspace

Turns scattered AI conversations into persistent, searchable knowledge by capturing insights from any AI session and making them available across all your tools.

Canvas

Enables AI agents to interact with Canvas LMS for querying courses and resources.

Axiom

Create AI agents, RAG systems, and full-stack applications using natural language with this documentation-aware AI agent.

Maven Tools

Provides AI assistants with instant, accurate Maven Central dependency intelligence and documentation support for all JVM build tools.

Spec

Provides LLMs with comprehensive, searchable context on the Model Context Protocol (MCP) specification.

Enhanced Documentation Search

Provides AI models with real-time access to technical documentation, library popularity data, and career insights to inform software development decisions.

Turbo Docs

Provides access to up-to-date documentation for Turbo.js within compatible Model Context Protocol (MCP) clients.

SourceSage

Caches a codebase as a graph to provide LLMs with efficient code memory.

Pubmed

Enables AI assistants to search and analyze PubMed medical literature with advanced filtering, citations, and research tools.

Star Wars

Interacts with the SWAPI Star Wars API to provide data on characters, planets, films, species, vehicles, and starships.

YouTube

Enables searching YouTube videos, retrieving transcripts, and performing semantic search over video content.

DocMCP

Indexes technical documentation on a local vector database and integrates with AI IDEs for semantic search.

Obsidian Connector

Connects an Obsidian vault to Claude Desktop, enabling reading and writing of Markdown notes via Model Context Protocol (MCP).

GitHub Pera1

Connects GitHub code to Claude.ai by extracting code from repositories using the Pera1 service.

Startup

Provides AI-powered coaching, research planning, and progress tracking to guide entrepreneurs through a systematic 5-phase methodology for building startups.

WisdomForge

Forges wisdom from experiences and insights using a vector database for efficient knowledge management.

Docs Provider

Provides documentation context to Large Language Models (LLMs) via the MCP protocol, allowing them to answer queries based on local markdown documentation.

YiGmMk

Facilitates the learning and development of MCP servers using Python.

Docbase

Enables interaction with Docbase data through a Model Context Protocol server.

Docfork

Provides up-to-date documentation for thousands of libraries within AI code editors via the Model Context Protocol.