MCP Server and Google ADK Multi-Tool System

Name: MCP Server and Google ADK Multi-Tool System
Author: ammilam

@ammilam

Repository

About MCP Server and Google ADK Multi-Tool System

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-google-adk-sse-multi-tool-system": {
      "command": "python",
      "args": [
        "-m",
        "mcp_agent.main"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server and Google ADK Multi-Tool System?

It is a system combining an MCP Server (TypeScript/Express) that provides tools for file operations, API calls, session data management, and weather information, with a Google ADK Agent (Python) that uses these tools through a webhook interface. It is intended for developers who want to build AI agents with custom tool capabilities.

How to use MCP Server and Google ADK Multi-Tool System?

Run ./scripts/setup.sh to set up both components. Configure .env files for the MCP server and the Google ADK agent with required tokens and project IDs. Start the MCP server with ./scripts/run-mcp.sh and the ADK agent with adk web. Open http://localhost:8000, select mcp_agent, and chat with the agent to test.

Key features of MCP Server and Google ADK Multi-Tool System

Default tools: file system, API calls, session data management, and weather.
Communicates with Google ADK agents via a webhook endpoint.
Supports adding new custom tools with a documented step-by-step process.
Provides dedicated REST endpoints per session for each tool.
Emits SSE events for real-time updates to clients.
Manages session state across multiple tool calls.

Use cases of MCP Server and Google ADK Multi-Tool System

Creating an AI agent that can read, write, and manage files on a server.
Building a conversational assistant that calls external APIs and returns results.
Integrating weather data into a chat agent for real-time queries.
Extending an agent with image generation capabilities (e.g., from text prompts).
Managing session-specific data across multiple turns of a conversation.

FAQ from MCP Server and Google ADK Multi-Tool System

What are the prerequisites?

You need Node.js (v16+), Python (v3.9+), the Google ADK SDK (pip install google-adk), a Google Cloud project with Vertex AI enabled, IAM permissions for the agent, and GitHub/GitLab access tokens if using repository tools.

How does the Google ADK agent communicate with the MCP server?

The agent sends HTTP POST requests to the MCP server’s /api/adk-webhook endpoint. The MCP server processes the request and returns

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