ACP Bridge connects Agent Communication Protocol networks to MCP clients, enabling seamless multi-agent workflows and ad
by 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
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Pulumi Infrastructure as Code
Pulumi Infrastructure as Code enables infra as a code operations, with tools for querying resources and running CLI comm
Vision
Vision: Add visual intelligence to your AI agents - image and video analysis with one-click integration for Claude Code
Pipedream
Pipedream — Access hosted MCP servers or deploy your own for 2,500+ APIs (Slack, GitHub, Notion, Google Drive) with buil
Arize Phoenix
Arize Phoenix — unified interface for managing prompts, exploring datasets, and running LLM experiments across providers
GitHub
MCP server for GitHub — enables Claude to interact with GitHub data and workflows.
ACP Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: ACP Bridge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
ACP Bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
ACP Bridge is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
ACP Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
ACP Bridge has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated ACP Bridge against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend ACP Bridge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: ACP Bridge is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, ACP Bridge benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Claude Desktop configuration
{
"mcpServers": {
"acp-bridge": {
"command": "uvx",
"args": [
"acp-mcp-server"
]
}
}
}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.
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.
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.
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.
# Install from PyPI
pip install acp-mcp-server
# Or use uvx for isolated execution
uvx acp-mcp-server
# 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
Add to your Claude Desktop configuration:
{
"mcpServers": {
"acp-bridge": {
"command": "uvx",
"args": ["acp-mcp-server"]
}
}
}
ACP_BASE_URL: ACP server URL (default: http://localhost:8000)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
The bridge server provides several MCP tools:
discover_acp_agents: Discover available ACP agentsget_agent_info: Get detailed information about specific agentsrun_acp_agent: Execute agents in sync/async modesget_async_run_result: Retrieve results from async executionslist_active_runs: List all active agent runssmart_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 strategiesstart_interactive_agent: Start interactive agent sessionsprovide_user_input: Provide input to waiting agentslist_pending_interactions: View pending interactionsconvert_acp_message: Convert between ACP and MCP formatsanalyze_message_content: Analyze message structure and content┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ 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)
Perfect for Claude Desktop integration:
acp-mcp-server
For web applications and streaming:
acp-mcp-server --transport sse --port 8000
For REST API integration:
acp-mcp-server --transport streamable-http --port 9000
# 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
# 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
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
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ 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.
WhatsApp MCP
Send and receive WhatsApp messages directly from Claude and other AI assistants. Search conversations, manage contacts,