Learning & Documentation Servidores MCP

PDF RAG

Provides a Retrieval-Augmented Generation (RAG) database for PDF documents, leveraging semantic chunking and vector search for intelligent content retrieval.

Contexto

Makes project documentation accessible to AI assistants for enhanced contextual understanding.

Anki

Connects Claude Desktop to Anki to analyze and manage learning using leech-tagged cards.

Obsidian Search

Enables blazing fast search for Obsidian vaults, powered by Tantivy, allowing easy access to knowledge bases via any MCP client.

Claude Canvas

Enables Claude to interact with Canvas LMS for course and student management.

Windows Installation Guide

Provides a comprehensive guide for verifying Model Context Protocol (MCP) server installation on Windows.

Demo

Provides a Model Control Protocol (MCP) server implementation demonstrating various AI assistant tools and resources.

Developer Assistant

Automates the generation of typed React hooks and comprehensive documentation for Next.js projects, enhancing developer workflow with AI, CI/CD, and type safety.

Project Analyzer

Analyzes project structures and generates comprehensive README files.

Bun Fun

Provides simple local stdio MCP server examples compiled with Bun for integrating custom functionalities into Claude.

Demo

Implements the Model Context Protocol with streamable HTTP communication for building rich-context AI applications.

Reflection

Facilitates lightweight reflection and differential diagnosis by detecting AI providers or using local models to store and manage short-term memories.

Docs Search

Provides LLM clients with dynamic access to up-to-date implementation details and documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI.

Supernotes To Obsidian

Imports Supernotes exports into Obsidian daily notes using the Model Context Protocol (MCP).