Skill Library

Official Python SDK for Model Context Protocol, used to build MCP servers and clients.

Official TypeScript SDK for Model Context Protocol, supporting the development of MCP servers and clients.

A Go implementation of the Model Context Protocol (MCP) that enables seamless integration between LLM applications and external data sources and tools.

Official Rust SDK for Model Context Protocol, supporting async runtime.

Official Java SDK for Model Context Protocol, supporting both synchronous and asynchronous communication.

CLI host application that enables large language models to interact with external tools via the Model Context Protocol (MCP).

Official PHP SDK for Model Context Protocol, supporting the development of MCP servers and clients.

Converts WordPress plugins, themes, and core functionalities into MCP tools for AI agent invocation.

A multi-agent system framework enabling efficient AI collaboration through the MCP protocol.

A Ruby implementation of the Model Context Protocol (MCP) that simplifies integration between AI models and Ruby applications.

Modular RAG system with MCP protocol for tool interface, enabling AI assistants to invoke functions.

A zero-latency, zero-configuration AI agent sandbox.

MCP servers, skills, and plugins officially supported by AWS to help AI agents build applications on AWS.

A multilingual codebase querying and editing system based on knowledge graphs.

A loop engineering system designed for AI coding agents, including CLI tools and patterns.

An AI-driven penetration testing tool that re-runs each vulnerability to verify results.

Undetectable browser automation to bypass anti-bot systems.

Open-source backend-as-a-service offering database, authentication, storage, functions, AI gateway, and MCP server.

Provides persistent project memory for AI coding agents.

A multi-agent and multi-session workflow runtime similar to PyTorch.

Provides a complete API layer for local models, supporting RAG, skills, tools, and more.