
MCP Bridge Server
A macOS-native bridge server that enables communication between different AI clients like Claude and Cline, allowing them to interact with each other through the Model Context Protocol.
README
MCP Bridge Server
A macOS-native bridge server for the Model Context Protocol (MCP) that enables communication between different AI clients like Claude and Cline.
Overview
The MCP Bridge Server acts as an intermediary between different MCP clients, allowing them to communicate with each other. It provides:
- macOS-native integration with launchd service and Unix domain sockets
- Persistent client registration across restarts
- Seamless communication between different AI clients
- Tool routing between clients
Project Status
This project is under active development. Current status:
- [x] Basic bridge server implementation
- [x] Unix socket transport layer
- [x] macOS service integration framework
- [x] Robust connection handling and error recovery
- [x] Enhanced logging for debugging
- [x] Complete LaunchAgent configuration
- [x] Service lifecycle management
- [x] Client persistence implementation
- [x] Recovery mechanisms for service restarts
- [x] Client discovery and registration protocol
- [x] Configuration templates for Claude and Cline
Architecture
The MCP Bridge Server consists of several key components:
- BridgeServer: Core server implementation that handles client connections and message routing
- UnixSocketTransport: macOS-native transport layer using Unix domain sockets
- StateManager: Manages client state and persistence
- MacOSServiceManager: Handles integration with macOS launchd service
Installation
Coming soon
Usage
Coming soon
Development
Prerequisites
- Node.js 18+
- TypeScript
- macOS (for native features)
Building
# Install dependencies
npm install
# Build the project
npm run build
# Start the server
npm start
Testing
# Run tests
npm test
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。