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Subspacedomain
A native macOS MCP bridge server for communication and tool routing between different AI clients
rating : 2.5 points
downloads : 16
What is the MCP Bridge Server?
The MCP Bridge Server is a native macOS service that serves as a communication hub between AI clients (such as Claude and Cline). It uses the Model Context Protocol (MCP) to enable conversations and tool calls between different AI systems.How to use the MCP Bridge Server?
After installation, the bridge server will automatically run in the background. AI clients only need to connect to the local Unix socket to communicate with each other without complex configuration.Use cases
It is particularly useful when you need multiple AI clients to work together. For example, you can let Claude handle text analysis and Cline perform code generation, and exchange processing results through the bridge server.Main features
Native macOS integrationDeeply integrated with macOS system services, automatically started and managed through launchd
Persistent clientsClient registration information remains after the server restarts, eliminating the need for reconnection
Tool routingAutomatically routes tool call requests to AI clients with the corresponding capabilities
Error recoveryAutomatically handles connection interruptions and restores sessions to ensure communication reliability
Advantages and limitations
Advantages
Enables communication between AI clients with zero configuration
A native macOS service with low resource consumption
Automatically maintains connection status without user intervention
Supports tool call chains across AI systems
Limitations
Currently only supports the macOS system
Requires AI clients to implement the MCP protocol
Advanced configuration requires editing the plist file
How to use
Install the service
Deploy the bridge server through the installation package or command-line tool
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Start the service
The service will be automatically registered as a macOS background daemon process
Configure AI clients
Configure the supported AI clients to connect to the local Unix socket
Usage examples
Cross-AI collaborative writingClaude generates an article outline, and Cline writes code examples based on the outline
Tool chain callTrigger a chained call of tools from multiple AI clients through one AI client
Frequently Asked Questions
Do I need to open network ports?
Which AI clients are supported?
How to check the service status?
Related resources
MCP protocol specification
Technical specification document for the Model Context Protocol
GitHub repository
Project source code and issue tracking
Installation guide video
A 5-minute quick installation demonstration
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