Learning & Documentation Servidores MCP

Neurolorap

Analyzes code and generates documentation for projects.

PyRag

Provides AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.

Context Compose

Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.

Huuh

Connects AI applications to the huuh.me platform, facilitating collaborative AI and knowledge management.

AI Learning

Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.

Fichador

Generates structured reading summaries by searching and extracting content from educational articles on todamateria.com.br.

Star Wars API

Provides an MCP server for querying Star Wars universe data via SWAPI.

Java

Extracts Java API information and documentation from Git repositories to power AI coding assistants.

SDS

Automates project analysis and generates comprehensive development specifications, powered by AI integration.

Arxiv Search

Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.

Wikipedia Research Assistant

Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.

GitMCP

Transforms any GitHub project into a documentation hub, enabling AI tools to access up-to-date documentation and code and eliminate code hallucinations.

Demo

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

HelloPython AI ML

Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.

Practice

Provides a structured environment for building custom tools and servers compatible with the Model Context Protocol (MCP) using mcp-framework.