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Description
Adding a new A2A MCP Server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.
Server Details
Motivation and Context
This bridge server solves the interoperability challenge between MCP and A2A protocols, allowing AI assistants like Claude to discover, register, communicate with, and manage tasks on A2A agents through a unified interface. It enables MCP clients to leverage capabilities of A2A agents without requiring protocol-specific implementations.
How Has This Been Tested?
The server has been tested with Claude as the MCP client in the following scenarios:
Breaking Changes
None. This is a new server implementation that doesn't affect existing MCP clients.
Types of changes
Checklist
Additional context
The server supports multiple transport types (stdio, streamable-http, SSE) configurable through environment variables. The implementation includes a custom A2AServerTaskManager class that extends InMemoryTaskManager. Additionally, a config_creator.py script is provided to help users configure the server with Claude Desktop.