developer-tools

ACP-MCP-Server

gongrzhe

by gongrzhe

ACP-MCP-Server: bridge connecting Agent Communication Protocol agents to MCP clients like Claude Desktop — seamless ACP

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.

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Protocol bridge between ACP and MCPAutomatic agent discoveryMulti-modal content support

best for

  • / Developers using ACP agents with Claude Desktop
  • / Integrating existing ACP agents into MCP workflows
  • / Building multi-agent systems with protocol bridging

capabilities

  • / Bridge ACP agents to MCP clients
  • / Discover and register ACP agents automatically
  • / Route requests between protocols intelligently
  • / Handle multi-turn agent conversations
  • / Process text, images, and other content types
  • / Support multiple transport methods (STDIO, SSE, HTTP)

what it does

Connects ACP (Agent Communication Protocol) agents with MCP clients like Claude Desktop, allowing you to use ACP-based AI agents through the MCP interface.

about

ACP-MCP-Server is a community-built MCP server published by gongrzhe that provides AI assistants with tools and capabilities via the Model Context Protocol. ACP-MCP-Server: bridge connecting Agent Communication Protocol agents to MCP clients like Claude Desktop — seamless ACP It is categorized under developer tools.

how to install

You can install ACP-MCP-Server 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

MIT

ACP-MCP-Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

ACP-MCP-Server

PyPI version Python 3.11+ License: MIT

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 agents
  • get_agent_info: Get detailed information about specific agents

Agent Execution

  • run_acp_agent: Execute agents in sync/async modes
  • get_async_run_result: Retrieve results from async executions
  • list_active_runs: List all active agent runs

Smart Routing

  • smart_route_request: Intelligently route requests to best agents
  • test_routing: Test routing logic without execution
  • add_routing_rule: Add custom routing rules
  • list_routing_strategies: View all routing strategies

Interactive Sessions

  • start_interactive_agent: Start interactive agent sessions
  • provide_user_input: Provide input to waiting agents
  • list_pending_interactions: View pending interactions

Message Processing

  • convert_acp_message: Convert between ACP and MCP formats
  • analyze_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

📞 Support

FAQ

What is the ACP-MCP-Server MCP server?
ACP-MCP-Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for ACP-MCP-Server?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.851 reviews
  • Pratham Ware· Dec 28, 2024

    We wired ACP-MCP-Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Diego Sethi· Dec 20, 2024

    ACP-MCP-Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Valentina Thompson· Dec 20, 2024

    We wired ACP-MCP-Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Diego Nasser· Dec 16, 2024

    Strong directory entry: ACP-MCP-Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Evelyn Jackson· Nov 27, 2024

    ACP-MCP-Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sakshi Patil· Nov 19, 2024

    ACP-MCP-Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yuki Chawla· Nov 11, 2024

    We wired ACP-MCP-Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Valentina Chen· Nov 11, 2024

    ACP-MCP-Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Isabella Harris· Nov 7, 2024

    Strong directory entry: ACP-MCP-Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Isabella Martinez· Oct 26, 2024

    ACP-MCP-Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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