acp-mcp

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<h1>ACP to MCP Adapter</h1>

Connect ACP Agents to MCP Applications Seamlessly

[](https://github.com/i-am-bee/beeai-framework?tab=Apache-2.0-1-ov-file#readme) [](https://bsky.app/profile/beeaiagents.bsky.social) [](https://discord.com/invite/NradeA6ZNF) [](https://lfaidata.foundation/projects/)

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The ACP to MCP Adapter is a lightweight standalone server that acts as a bridge between two AI ecosystems: Agent Communication Protocol (ACP) for agent-to-agent communication and Model Context Protocol (MCP) for connecting AI models to external tools. It allows MCP applications (like Claude Desktop) to discover and interact with ACP agents as resources.

This adapter enables interoperability between ACP and MCP with specific benefits and tradeoffs:

• Makes ACP agents discoverable as MCP resources
• Exposes ACP agent runs as MCP tools
• Bridges two ecosystems with minimal configuration

• ACP agents become MCP tools instead of conversational peers
• No streaming of incremental updates
• No shared memory across servers
• Basic content translation between formats without support for complex data structures

This adapter is best for situations where you need ACP agents in MCP environments and accept these compromises.

• Python 3.11 or higher
• Installed Python packages: acp-sdk, mcp
• An ACP server running (Tip: Follow the [ACP quickstart](https://github.com/i-am-bee/acp/