Overview
Key features
- ACP to MCP bridging
- Agent discovery
- Resource registration
- Basic content translation
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Integrating ACP Agents with MCP Applications
Use the ACP to MCP Adapter to connect ACP agents to MCP applications like Claude Desktop, allowing them to discover and interact with each other.
Enabling Interoperability in AI Ecosystems
Deploy the adapter in situations where ACP agents need to be used in MCP environments, and the benefits of bridging the two ecosystems outweigh the limitations.
Pros & Cons
Pros
- Enables interoperability between ACP and MCP ecosystems
- Makes ACP agents discoverable as MCP resources
- Exposes ACP agent runs as MCP tools
Cons
- ACP agents become MCP tools instead of conversational peers
- No streaming of incremental updates
- No shared memory across servers
Reviews
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Q&A
What limitations should I expect when using the adapter?
The adapter does not support streaming incremental updates, shared memory across servers, or complex data structures—only basic content translation. ACP agents appear as MCP tools rather than conversational peers.
Asked by Willa Thompson · Jul 24, 2025
Which MCP client applications can connect to the adapter?
The adapter works with any MCP client; the README mentions Claude Desktop as an example. Configure the client’s settings to point to the adapter’s address, and it will discover ACP agents as MCP resources.
Asked by Jovana Petrovic · Jun 29, 2025
How do I set up the ACP‑MCP adapter with my existing ACP server?
Install Python 3.11+, the `acp-sdk` and `mcp` packages, then run `uvx acp-mcp http://localhost:8000` (replace the URL with your ACP server). You can also launch it in Docker with `docker run -rm ghcr.io/i-am-bee/acp-mcp http://host.docker.internal:8000`.
Asked by Timur Nazarov · Jun 17, 2025
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