Browse and discover Model Context Protocol compatible clients.
A fully functional AI Agent desktop client that supports Webui access and can be creatively customized and expanded!
The Simple Agent Development Kit.
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
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
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 single interface to use and evaluate different agent frameworks
Just a Better Chatbot. Powered by MCP Client & Workflows.
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.
The MCP server that turns Claude into the only coding agent hitting 100% on a real benchmark. -77% active tokens, -76% wall time, 0 losses across 96 tasks on Claude Opus 4.7. Structural code navigation + persistent memory. Works with every MCP client.
Chatmcp is a cross-platform AI chat client for MacOS, Windows, Linux, iOS, and Android, allowing users to chat with an MCP server after configuring their LLM API key and endpoint
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.
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
CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.
Arcade Python SDK, CLI, and toolkits
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.