
ACP Bridge
Connects Agent Communication Protocol (ACP) networks to MCP clients, letting you access multi-agent AI workflows through tools like Claude Desktop. Automatically discovers agents and routes requests intelligently.
Bridges Agent Communication Protocol networks with MCP clients, enabling access to complex multi-agent workflows through intelligent agent discovery, routing, and multi-modal message conversion with support for synchronous, asynchronous, and streaming execution patterns.
What it does
- Discover and register ACP agents as resources
- Route requests intelligently to appropriate agents
- Execute agents with sync, async, and streaming modes
- Convert between ACP and MCP message formats
- Monitor active agent runs and retrieve results
- Configure custom routing rules for agent selection
Best for
About ACP Bridge
ACP Bridge is a community-built MCP server published by gongrzhe that provides AI assistants with tools and capabilities via the Model Context Protocol. ACP Bridge connects Agent Communication Protocol networks to MCP clients, enabling seamless multi-agent workflows and ad It is categorized under ai ml, developer tools. This server exposes 16 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install ACP Bridge in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
ACP Bridge is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (16)
Get information about the ACP-MCP bridge server
Discover all available ACP agents and register them as resources
Get detailed information about a specific ACP agent
Convert ACP message format to MCP-compatible format
Analyze the content types and structure of an ACP message
ACP-MCP-Server
A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.
✨ Features
- 🔄 Protocol Bridge: Seamlessly connects ACP agents with MCP clients
- 🚀 Multiple Transports: Supports STDIO, SSE, and Streamable HTTP
- 🤖 Agent Discovery: Automatic discovery and registration of ACP agents
- 🧠 Smart Routing: Intelligent routing of requests to appropriate agents
- 🔄 Async Support: Full support for synchronous and asynchronous operations
- 💬 Interactive Sessions: Support for multi-turn agent interactions
- 🌐 Multi-Modal: Handle text, images, and other content types
🚀 Quick Start
Installation
# Install from PyPI
pip install acp-mcp-server
# Or use uvx for isolated execution
uvx acp-mcp-server
Basic Usage
# Run with STDIO (default, for Claude Desktop)
acp-mcp-server
# Run with SSE transport
acp-mcp-server --transport sse --port 8000
# Run with HTTP transport
acp-mcp-server --transport streamable-http --host 0.0.0.0 --port 9000
# Connect to different ACP server
acp-mcp-server --acp-url http://localhost:8001
Using with Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"acp-bridge": {
"command": "uvx",
"args": ["acp-mcp-server"]
}
}
}
📋 Requirements
- Python 3.11+
- Running ACP server with agents
- FastMCP for protocol implementation
🔧 Configuration
Environment Variables
ACP_BASE_URL: ACP server URL (default:http://localhost:8000)
Command Line Options
usage: acp-mcp-server [-h] [--transport {stdio,sse,streamable-http}] [--host HOST] [--port PORT] [--path PATH] [--acp-url ACP_URL] [--version]
options:
-h, --help show this help message and exit
--transport {stdio,sse,streamable-http}
Transport protocol (default: stdio)
--host HOST Host address for HTTP transports (default: 127.0.0.1)
--port PORT Port number for HTTP transports (default: 8000)
--path PATH URL path for HTTP transports (default: /mcp)
--acp-url ACP_URL ACP server URL (default: http://localhost:8000)
--version show program's version number and exit
🛠️ Available Tools
The bridge server provides several MCP tools:
Agent Management
discover_acp_agents: Discover available ACP agentsget_agent_info: Get detailed information about specific agents
Agent Execution
run_acp_agent: Execute agents in sync/async modesget_async_run_result: Retrieve results from async executionslist_active_runs: List all active agent runs
Smart Routing
smart_route_request: Intelligently route requests to best agentstest_routing: Test routing logic without executionadd_routing_rule: Add custom routing ruleslist_routing_strategies: View all routing strategies
Interactive Sessions
start_interactive_agent: Start interactive agent sessionsprovide_user_input: Provide input to waiting agentslist_pending_interactions: View pending interactions
Message Processing
convert_acp_message: Convert between ACP and MCP formatsanalyze_message_content: Analyze message structure and content
🏗️ Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ MCP Client │ │ ACP-MCP Bridge │ │ ACP Agents │
│ (Claude Desktop)│◄──►│ Server │◄──►│ (echo, chat, │
│ │ │ │ │ translate...) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
MCP Protocol Protocol Bridge ACP Protocol
(STDIO/SSE/HTTP) (FastMCP + aiohttp) (HTTP/WebSocket)
🔌 Transport Modes
STDIO (Default)
Perfect for Claude Desktop integration:
acp-mcp-server
SSE (Server-Sent Events)
For web applications and streaming:
acp-mcp-server --transport sse --port 8000
Streamable HTTP
For REST API integration:
acp-mcp-server --transport streamable-http --port 9000
🐳 Docker
Quick Start with Docker
# Build the image
docker build -t acp-mcp-server .
# Run with Streamable HTTP transport
docker run -p 9000:9000 acp-mcp-server
# Run with SSE transport
docker run -p 8000:8000 acp-mcp-server \
--transport sse --host 0.0.0.0 --port 8000
# Connect to custom ACP server
docker run -p 9000:9000 -e ACP_BASE_URL=http://my-acp-server:8001 acp-mcp-server
Using Docker Compose
# Run HTTP transport service
docker-compose up acp-mcp-http
# Run SSE transport service
docker-compose up acp-mcp-sse
# Run both services
docker-compose up
# Run development mode with live code reload
docker-compose --profile dev up acp-mcp-dev
Production Docker Image
For production deployments, use the multi-stage Dockerfile:
# Build production image
docker build -f Dockerfile.prod -t acp-mcp-server:prod .
# Run production container
docker run -d \
--name acp-mcp-server \
--restart unless-stopped \
-p 9000:9000 \
-e ACP_BASE_URL=http://your-acp-server:8000 \
acp-mcp-server:prod
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🔗 Related Projects
- FastMCP - Fast, Pythonic MCP server framework
- ACP SDK - Agent Communication Protocol SDK
- Claude Desktop - AI assistant with MCP support
📞 Support
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