Browse and discover Model Context Protocol compatible clients.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
Flock is a flexible low-code platform for orchestrating collaborative agents, offering features like MCP tools support, parameter extraction, subgraph nodes, human-in-the-loop interactions, and multimodal chat capabilities. Flock is a flexible
Minima is an open-source RAG platform offering on-premises containerized solutions, integrating with ChatGPT and MCP, or operating fully locally. It enables secure querying of local documents using various LLMs.
编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Mana
A single interface to use and evaluate different agent frameworks
The Stripe Agent Toolkit enables agent frameworks like OpenAI's Agent SDK and LangChain to integrate with Stripe APIs through function calling, supporting both Python and TypeScript with Stripe SDKs.
Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
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
This repository provides an Arduino library for interfacing with the MCP2515 CAN controller, enabling CAN-BUS communication for Arduino projects. It supports standard and extended frames, along with sending, receiving, and
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
MCP-Bridge bridges the OpenAI API and MCP tools, enabling developers to use MCP tools through the OpenAI API interface. It supports chat completions, MCP tools, and offers an SSE Bridge
A library for communication with a Minecraft client/server.
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.
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