Browse and discover Model Context Protocol compatible clients.
Dive is an open-source, cross-platform desktop application that integrates with LLMs supporting function calling, offering features like multi-language support, API management, custom instructions, and auto-updates for seamless AI agent integration.
The ultimate toolkit for working with APIs.
Build Your Agent Team for Real-World AI Development - Workspace-first multi-agent coordination platform for AI development, with shared Specs, Kanban orchestration, and MCP/ACP/ A2A support across web and desktop.
This repository contains a LangGraph agent service and a CopilotKit frontend application. The agent connects to MCP servers and utilizes their tools, while the frontend provides UI and state synchronization.
Codemcp integrates Claude Desktop with your codebase, enabling AI-powered feature implementation, bug fixes, and refactoring through direct file edits and test runs, all while leveraging Git for safe, reversible changes.
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.
MCPHost is a CLI application enabling LLMs like Claude 3.5 Sonnet and Ollama to interact with external tools via the Model Context Protocol, supporting dynamic tool integration and consistent context.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
MCP-Reborn is an MCP (Mod Coder Pack) for Minecraft for making modded clients and researching its code. (1.13-1.21.4)
Make your own story. User-friendly software for LLM roleplaying
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
An MCP adapter that bridges the Abilities API to the Model Context Protocol, enabling MCP clients to discover and invoke WordPress plugin, theme, and core abilities programmatically.
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.