AI-powered game framework with memory, emotion, and context-driven storytelling built atop a full engine.

Integrates Developer Overheid API Register to fetch APIs, API details, and CVS repositories using CLI-ready tooling and configurable transports.

Type-safe bridge enabling AI-driven WordPress content management via REST API, including drafting, search, and publishing.

Python-based demonstration of the Model Context Protocol, showcasing tools, data, and prompts through a weather-focused example.

Native integration enabling natural language database queries and subscribed data shares with local setup.

GitHub Projects API integration enabling views, priorities, dependencies, and metrics management with Docker, NPX, and library usage.

Doc retrieval platform enabling AI tools to access up-to-date docs across libraries like LangChain, LlamaIndex, and OpenAI, through dynamic web search, targeted URL discovery, and HTML content extraction. The configuration-driven design makes it easy to extend to additional libraries and documentation sources.

Model Context Protocol Servers with SSE

TypeScript-based integration tool for PocketBase that lists collections, with easy config, admin authentication, and debugging support.

Go-based tool enabling dynamic GraphQL queries, mutations, and schema introspection with header customization for secure API access.

O Model Context Protocol (MCP) é um protocolo aberto desenvolvido pela Anthropic para padronizar a integração entre modelos de inteligência artificial (IA) e fontes de dados ou ferramentas externas.

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

Unified Flow blockchain access with balance checks, domain resolution, script execution, and transaction handling via a standardized interface and configurable networks.

An integrated Aptos development toolkit with doc browsing, project generation, component scaffolding, contract testing, and ABI generation to streamline end-to-end app creation.

Unifies Linear issue tracking with a flexible protocol to empower LLMs to manage issues, projects, teams, and milestones with rich interactions.

Serverless MCP server enabling tool registration, in-memory client-server, and context-aware credential handling for secure, rapid tool execution.

Connects Tibber energy data to AI agents for price queries, consumption insights, and intelligent analytics via an accessible API.

Hands-on Python-based guide demonstrating interactive experimentation, CSV workflows, and extensible tool frameworks for practical context-aware AI work.

A documentation of setting up Model Context Protocol (MCP) with GitHub: challenges, debugging, and solutions

Curated MCP examples showcasing seamless data source integration and tool orchestration for scalable LLM apps.

awesome model context protocol

LeaveRequestMcpServer

A Rails-inspired Ruby SDK for building Model Context Protocol (MCP) servers

Model Context Protocol server for Metaplex DAS API