ACP MCP Server
The ACP - MCP Bridge Server is a middleware that connects the Agent Communication Protocol (ACP) and the Model Context Protocol (MCP). It supports multiple transport protocols and enables seamless integration between AI agents and MCP - compatible tools (such as Claude Desktop).
rating : 2.5 points
downloads : 7.7K
What is the ACP-MCP Bridge Server?
This is an intelligent middleware that enables seamless communication between different AI agents (using the ACP protocol) and various client tools (using the MCP protocol). Just like an interpreter helps people who speak different languages communicate, it allows AI systems to communicate freely with each other.How to use this service?
Simply install and run the service. It will automatically discover available AI agents and be ready to receive client requests. You can use it through the command line, web page, or by directly integrating it into applications such as Claude Desktop.Applicable scenarios
When you need to: - Enable Claude Desktop to access other AI capabilities - Integrate multiple AI agents to work together - Develop applications that need to connect different AI systemsMain Features
Protocol Conversion
Automatically convert between the ACP and MCP protocols, allowing AI systems from different systems to understand each other
Multiple Transport Modes
Support three connection methods: STDIO (command line), SSE (web page push), and HTTP
Automatic Agent Discovery
Automatically find and register available AI agents without manual configuration
Intelligent Routing
Automatically select the most suitable AI agent to handle requests based on the request content
Multi-modal Support
Handle multiple content types such as text and images
Advantages
Ready to use out of the box. Connect to existing AI systems immediately after installation.
Lightweight design with low resource consumption.
Support Docker containerized deployment.
Complete error handling and logging.
Limitations
Requires a Python 3.11+ environment.
Depends on an external ACP server to provide AI capabilities.
Advanced configuration requires technical knowledge.
How to Use
Install the Service
Install via the Python package manager
Basic Operation
The simplest way to start (suitable for Claude Desktop integration)
Web Interface
Start an HTTP service for web applications to access
Docker Deployment
Run the service in a containerized manner
Usage Examples
Claude Desktop Integration
Enable Claude Desktop to access the capabilities of other AI agents
Collaborative Work of Multiple AIs
Let the translation AI and writing AI work together to complete multi-language content creation
Development and Testing Environment
Developers can quickly test the MCP compatibility of AI agents
Frequently Asked Questions
Do I need to deploy my own ACP server?
Which AI agents are supported?
What is the performance? How many concurrent requests can it handle?
How to monitor the service running status?
Related Resources
ACP Protocol Documentation
Agent Communication Protocol specification
FastMCP Project
MCP server framework
Claude Desktop
AI desktop application supporting MCP
Docker Image
Official Docker image

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