Agent orchestration MCP servers

The ultimate LLM/AI application development framework in Go.

On-premises conversational RAG with configurable containers

** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.

Python SDK for interacting with the MCP Toolbox for Databases.

mcp-use is the framework for MCP with the best DX - Build AI agents, create MCP servers with UI widgets, and debug with built-in inspector. Includes client SDK, server SDK, React hooks, and powerful dev tools.

AI-to-AI communication protocol for Claude, Gemini, and other AI assistants

MCP server for understanding AWS spend

A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application patterns.

MCP server for AI-powered GitHub project management — 20 tools, 169 actions, agent swarm orchestration, GitHub Actions/Releases/Branches, MCP Resources & Prompts, PRD-to-issues pipeline

Connect AI agents across any network — zero config, encrypted, skill-based routing

Javascript SDK for interacting with the MCP Toolbox for Databases.

DAG runtime for coding-agent workflows with verification, resume, replay, and effect checks.

DAG runtime for coding-agent workflows with verification, resume, replay, and effect checks.

oh-my-codex (omx) — Orchestration layer for OpenAI Codex CLI. Async Claude Code delegation (no timeouts), structured workflows (autopilot, TDD, code review, planning), persistent state & memory. Like oh-my-zsh but for Codex.

A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.

Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).

MIT-licensed, backend-agnostic AI agent orchestration loop in Python: orchestrator→worker→reviewer as a deterministic harness. Drive coding-agent backends through an MCP server + CLI.

A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.

A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.

Multi-agent cryptocurrency intelligence system built with Claude Code. 6 AI agents, 66 MCP tools, Agent Teams, zero orchestration code.

Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents

Open-source multi-agent task board for OpenClaw. Kanban + DAG dependencies + MCP server + auto-retry + audit trail. Built for autonomous AI agent teams.

This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.

MCP to LangChain Tools Conversion Utility / TypeScript