ACP-MCP-Server▌
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
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
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.8★★★★★51 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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