Learning & Documentation Servidores MCP

Python Tutorial

Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.

Example

Explores the Model Context Protocol (MCP), its concepts, operation, and potential future impact on AI tool integration.

Simple Server Setup

Demonstrates calculator operations via Server-Sent Events (SSE) and Standard Input/Output (STDIO) client-server communication modes.

Mcps Playground

Experiment with Anthropic's Claude and the Model Context Protocol (MCP) through an interactive web interface.

Robostats

Connects FIRST Robotics Competition (FRC) data directly to Claude Desktop or Cursor IDE for AI-powered analysis.

Cricket Prediction

Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.

Financial Report Generator

Generates detailed financial reports for various companies, serving as a practical demonstration for learning the Model Context Protocol (MCP).

Demo

Provides a demonstration of an MCP server implementation using the `http-mcp` package, exposing example tools and prompts.

GitLab Forum

Provides a specialized Model Context Protocol (MCP) server for efficient searching, reading, and analysis of discussions on the official GitLab community forum.

Alloy

Provides a local Alloy-Language server to facilitate the generation and execution of Alloy modeling code.

Auth

Enables the construction of remote MCP servers featuring robust authentication and authorization capabilities via OAuth2.1.

Yokatlas

Provides programmatic access to Turkish higher education data, including detailed information on bachelor's and associate degree programs.

AI Prompt Logger

Logs Cursor AI chat interactions to Notion for analysis, documentation, and knowledge management.

M/M/1 Queue Simulation

Provides comprehensive resources, tools, and prompts for simulating and analyzing M/M/1 queuing systems, enabling large language models to assist with complex operations research tasks.

Hello World

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

Obsidian Learning Extension

Enhances Obsidian with intelligent learning capabilities, including AI-powered challenges, spaced repetition, and comprehensive knowledge analytics.

ArXiv Paper

Access and parse scientific papers from arXiv, supporting Model Context Protocol for AI integration.

BookStack

Integrates BookStack documentation with Cursor AI, enabling AI-powered content management.

Cantonese Dictionary

Provides comprehensive Cantonese dictionary lookup and linguistic analysis functionality via an MCP server.

Clelp

Curate and discover the best AI tools, leveraging ratings and reviews from AI agents.