Browse and discover Model Context Protocol compatible clients.
Turn React hooks into LLM tools
MCP Dockmaster allows you to easily install and manage MCP servers. Available for Mac, Windows and Linux as a Desktop App, CLI and a library.
An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to que
基于MCP(Model Context Protocol)的智能聊天应用，支持Web和桌面环境。集成OpenAI/Anthropic API，提供MCP服务器的所有工具能力。简洁现代的UI设计，支持跨平台部署。
Connect any MCP-compatible AI client (Claude Code, Cursor, Windsurf, VS Code Copilot) to your Unity Editor. 222+ granular tools, a full Unity-aware system prompt, game design document project context, script semantic search, and skill calibration - all free and local.
OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.
🚀 专为 AI Agent 打造的瑞数防爬流量净化 MCP 工具 / An MCP Tool for AI Agents to Stealthily Bypass and Purify Ruishu WAF Traffic
This repository showcases a Model Context Protocol (MCP) client built with Gradio, demonstrating interaction with MCP servers via STDIO and SSE for seamless tool integration within a user-friendly interface.
MCP (Model Context Protocol) Servers authored and maintained by the PulseMCP team. We build reliable servers thoughtfully designed specifically for MCP Client-powered workflows.
This repository provides a basic MCP client implementation that leverages the Ollama API to retrieve MCP data, replacing the original Claude-specific code and currently supporting only stdio transport for communication.
FastAPI server implementing MCP protocol Browser automation via browser-use library.
This repository demonstrates using the Model Context Protocol with OpenAI to build a chat-based agent. It provides a starting point for projects, but users should be aware of potential token usage costs.
This repository provides a minimal MCP client library, enabling LLM UIs to support the Model Context Protocol through an OpenAI-compatible API. It facilitates integration with locally runnable inference engines.
description: "An MCP server that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debug information.
This repository provides a REST API and CLI client for interacting with Model Context Protocol (MCP) servers, leveraging LangChain for LLM prompts and supporting various LLM providers. It enables collaboration