A2A MCP Server

What does “A2A” MCP Server do?

The A2A MCP Server acts as a bridge between the Model Context Protocol (MCP) and the Agent-to-Agent (A2A) protocol. This integration enables MCP-compatible AI assistants, such as Claude, to seamlessly interact with A2A agents. By serving as the glue between these two protocols, the A2A MCP Server allows AI applications to access a wider range of agent-based capabilities. It standardizes communication between LLM-powered assistants and external agent systems, thereby enhancing development workflows. Developers can leverage the server to automate tasks, dispatch actions to agents, and extend their AI’s operational reach into environments managed by the A2A protocol.

Use Cases of this MCP Server

• Agent-to-Agent Protocol Bridging: Enables developers to connect their MCP-compatible AI assistants with a network of A2A agents, extending the assistant’s capabilities to multi-agent orchestration.
• AI Automation Workflows: Facilitates automation by allowing AI assistants to delegate tasks to various A2A agents, thereby streamlining business processes or research pipelines.
• Interoperable Agent Ecosystems: Supports the creation of interoperable systems where multiple AI agents, tools, and services can work together under a unified protocol.
• Enhanced LLM Tooling: Augments the toolset available to large language models by providing access to agent actions and data that would otherwise be inaccessible through MCP alone.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Open your Windsurf configuration file.
3. Add the A2A MCP Server to the mcpServers section as shown below.
4. Save the configuration and restart Windsurf.
5. Verify that the server is registered and available.

{
  "mcpServers": {
    "a2a-mcp": {
      "command": "a2a_mcp_server",
      "args": []
    }
  }
}

Note: To secure API keys, use environment variables:

{
  "mcpServers": {
    "a2a-mcp": {
      "command": "a2a_mcp_server",
      "args": [],
      "env": {
        "A2A_API_KEY": "${A2A_API_KEY}"
      },
      "inputs": {
        "apiKey": "${A2A_API_KEY}"
      }
    }
  }
}

Claude

1. Ensure prerequisites such as Node.js are installed.
2. Locate and open Claude’s configuration file.
3. Add the A2A MCP Server using the following JSON snippet.
4. Save your changes and restart Claude.
5. Confirm the server is listed in available tools.

{
  "mcpServers": {
    "a2a-mcp": {
      "command": "a2a_mcp_server",
      "args": []
    }
  }
}

Note: Secure sensitive credentials with environment variables as shown above.

Cursor

1. Install dependencies (like Node.js).
2. Open Cursor’s configuration settings.
3. Add the A2A MCP Server configuration under mcpServers.
4. Save and restart Cursor.
5. Check the integration by running a test command.

{
  "mcpServers": {
    "a2a-mcp": {
      "command": "a2a_mcp_server",
      "args": []
    }
  }
}

Note: Use environment variables to keep API keys secure.

Cline

1. Install required dependencies (Node.js).
2. Edit the Cline configuration file.
3. Insert the A2A MCP Server details as shown below.
4. Save and restart Cline.
5. Validate the server registration.

{
  "mcpServers": {
    "a2a-mcp": {
      "command": "a2a_mcp_server",
      "args": []
    }
  }
}

Note: Protect credentials with environment variables.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "a2a-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “a2a-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Between the presence of a license, clear setup, and the bridging function, but absence of prompts/resources/tools in documentation, this MCP rates as moderately useful, but not fully featured for immediate plug-and-play. Needs more detail for best use. Rating: 5/10

MCP Score