Learning & Documentation Servidores MCP

Docs RAG

Enables querying of local documents using retrieval-augmented generation (RAG) with LLMs.

Lemonade Stand

Simulates the classic Lemonade Stand game, enabling play through Claude Desktop using the Model Context Protocol (MCP).

Rfc

Fetches, parses, and provides programmatic access to RFC documents from the IETF website.

Docs Fetch

Recursively fetches and extracts content from web pages for LLM consumption.

Etabs Documentation Assistant

Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.

Zim

Enables AI models to access and search ZIM format knowledge bases offline.

Mapas Mentais

Generates automated mind maps to facilitate studying, reviewing, comparing, and presenting various topics.

Mcp-Demos

Provides example code for understanding and implementing the Model Context Protocol (MCP).

Nia Codebase

Integrates Nia's codebase understanding capabilities with MCP-compatible clients through function calling.

RagChatbot

Builds a RAG-based HR chatbot that provides workplace rules using a localhost MCP server.

Awesome MCP Servers

Provides a curated list of resources related to Model Context Protocol (MCP) servers.

Obsidian Integration

Enables AI assistants to interact with an Obsidian vault via the Model Context Protocol.

Raindrop

Enables interaction with Raindrop.io bookmarks through simple, human language from within Claude Desktop.

Bear Notes

Connects the Bear note-taking app to AI assistants, enabling semantic search and retrieval of notes.

Arxiv Search

Searches and retrieves academic papers from arXiv using the Model Context Protocol.

Eclass

Enables AI agents to interact with the Open eClass platform for course information and basic operations.

Uv Docs

Provides programmatic access to UV package manager documentation through a Model Context Protocol (MCP) server.

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.

Docs Provider

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