Browse and discover Model Context Protocol compatible clients.
Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building
小智ESP32的Java企业级管理平台，提供设备监控、音色定制、角色切换和对话记录管理的前后端及服务端一体化解决方案
Simple, modular, and observable Go framework for backend applications.
A minimalistic MCP client with a good feature set.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.
程序员鱼皮的 AI 知识库，汇总热门的 AI 大模型和工具，比如 Deepseek 使用指南、提示词技巧、知识干货、应用场景、AI 变现、行业资讯、教程资源等一系列内容，帮助你快速掌握 AI 技术，走在时代前沿。涉及大模型 ChatGPT、Claude、Gemini、Deepseek、Deepseek-r1、QWEN、GROK 等；涉及技术 Spring AI、LangChain、RAG、MCP、
LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing vario
QGISMCP integrates QGIS with Claude AI via the Model Context Protocol, enabling Claude to control QGIS for tasks like project creation, layer manipulation, and code execution. It uses a QGIS
Arcade Python SDK, CLI, and toolkits
AWorld facilitates building, evaluating, and running General Multi-Agent Assistance, bridging the gap between theoretical MAS capabilities and real-world applications. It allows users to create agentic prototypes and extend them for practical needs.
Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.
Go-MCP is a powerful Go(Golang) version of the MCP SDK that implements the Model Context Protocol (MCP) to facilitate seamless communication between external systems and AI applications.
AgentKit enables building multi-agent networks with deterministic routing and rich tooling via MCP, supporting TypeScript AI developers with fault-tolerant cloud deployment. It offers flexible routing, multiple model providers, and built-in tracing.
This repository showcases a Universal Assistant built with LangGraph and Model Context Protocol (MCP), enabling seamless integration of language models with external data sources and tools through a multi-agent workflow.