Discover the Power ofModel Context Protocol

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

A Model Context Protocol (MCP) server for Caltrain schedules. Get real-time train departures using GTFS data, designed for Claude Desktop and other MCP clients.

Claude Code is powerful. Pilot makes it reliable. Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated.

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

Build APIs your users love ❤️ with Speakeasy. ✨ Polished and type-safe SDKs. 🌐 Terraform providers, MCP servers, CLIs and Contract Tests for your API. OpenAPI native.

🚀 The fast, Pythonic way to build MCP servers and clients.

Specification and documentation for the Model Context Protocol

Query Engine for AI Analytics: Build self-reasoning agents across all your live data

🤖 Build an optimized Python server for the Bluesky social network, designed for AI agents with efficient context handling and Windows compatibility.

Production-ready platform for agentic workflow development.

MCP wrapper and Claude Code Skill for osquery

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs