Repositorio de demostración para mostrar las capacidades del MCP (Model Context Protocol) de GitHub

Standardized MCP for GitHub API interactions with structured actions, context management, and safe workflows.

Natural-language Hue light control with automatic bridge onboarding, per-room actions, and straightforward tooling for quick local automation.

Mapbox-powered geospatial toolkit enabling AI agents to geocode, search POIs, route, isochrones, and visualize maps with seamless integrations.

Secure, encoding-aware file operations with read/write and directory browsing using FastMCP for reliable protocol-driven interactions.

Edge-first Raspberry Pi-based AI chatbot with privacy-preserving memory and context handling.

Full stack Next.js application, containing all things related to Model Context Protocol.

Example implementations and use cases for MCMAP - Model Context Marketing and Advertising Protocol

Seamless GitHub workflows inside Amazon Q CLI, enabling repo management, code operations, and issue handling through natural prompts.

Hands-on sandbox to explore protocol-driven agents and their interactions, enabling rapid experimentation and learning.

Bulletproof RAG agent with Context7 MCP integration, precise grounding, and a polished terminal UI, built for scalable developer workflows and reliable documentation retrieval.

Multi-agent document QA with context-aware retrieval, OpenAI-backed answers, and an interactive Streamlit UI.

A TypeScript MCP server powering SARS AI Space helper, enabling model context streaming and client integrations with fast development reloads.

A comprehensive API-powered search tool enabling natural language queries for people and companies with rich filters, TypeScript safety, and flexible authentication.

Modular retrieval-augmented chatbot leveraging MCP to ingest multiple document types, perform semantic search, and generate responses with Gemini.

Comprehensive Opsgenie alert management with multi-transport support, notes, logs, and custom details, built on the MCP SDK.

Python toolkit delivering client libraries, utilities, and plugins for MCMAP with auto-discovery and flexible tool execution.

Roslyn-powered, cross-project static analysis with safe refactoring and real-time updates for .NET projects.

Lightweight Python implementation enabling seamless model-context sharing, dynamic tool integration, and extensible plugin support for AI workflows.

Python-based platform delivering fast context-aware retrieval for diverse inputs, enabling effective spaced repetition with LLM-assisted insights.

A simple workshop which aims to explore usecases of model context protocol (MCP)

NLP engine combining GEMINI 2.5 with a contextual protocol to orchestrate tasks and external tools.

Two-component WhatsApp integration enabling AI assistants to exchange messages, media, and contacts securely through a local bridge.

PHP-based MySQL integration enabling direct DB access, SQL execution, and schema export for Windsurf IDE via MCP.