Learning & Documentation Servidores MCP

MCP Servers Hub

Centralizes the discovery, comparison, and implementation of Model Context Protocol (MCP) servers, ranked by community popularity.

Noverload

Connects saved Noverload content to AI assistants, enabling advanced search, content synthesis, and intelligent token management through the Model Context Protocol (MCP).

FastMCP Quickstart

Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.

Serve Learn

Facilitates multilingual translation and resource management via the Model Context Protocol (MCP).

Hello World

Demonstrates the Model Context Protocol (MCP) through a simple client-server greeting tool utilizing standard input and output for communication.

Hello World

Generates multi-language greetings and provides server capabilities through an HTTP-based Model Context Protocol server.

MPO

Connects AI assistants and Large Language Models to GitHub, Confluence, and Databricks environments via the Model Context Protocol.

Scribe

Maintains project documentation and progress logs consistently across AI agents.

Obsidian

Integrates Obsidian vaults as structured context sources for LLMs like Claude Desktop, enabling multi-vault management, token-efficient search, and markdown-native editing.

Multi-Tool Server

Provides calculator tools, document resources, and prompt templates via a single server implementation.

Joseph

Provides an example implementation of a Message Communication Protocol (MCP) server using the FastMCP framework.

FastAPI Tool Demo

Demonstrates integrating FastAPI and FastMCP to serve LLM-callable tools via the MCP protocol.

Knowledge Base

Provides a Model Context Protocol (MCP) server for processing local documents and answering questions based on their content.

CodeAI

Provides AI agents with professional development guidelines, coding standards, and best practices for writing production-quality code.

Project Context

Provides persistent project context and planning state to AI coding assistants like Claude Code.

Basic

Provides a simple, experimental server for integrating tools with local AI chat agents.

Presentation

Provides slides and materials for a workshop on deploying applications to Kubernetes.

AI Book Agent

Empowers AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation.

Effect

Provides tools for efficiently accessing Effect documentation.

GitMCP

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