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google-adk-mcp

@nikhilpurwant

google-adk-mcp について

Using Google ADK with and MCP server written for the repair_world_application

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

nikhilpurwant

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "google-adk-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is google-adk-mcp?

google-adk-mcp is a sample project demonstrating how to build a Google ADK (Agent Developer Kit) agent that connects to an external MCP server. The MCP server exposes tools for interacting with the repair_world_application, such as creating and viewing repair requests.

How to use google-adk-mcp?

Clone the repository, create a Python virtual environment (Python 3.11+), and install dependencies. Ensure the repair_world_application is running. Then launch the agent either via adk web for a web UI at http://localhost:8000 or by running python agent-repairworld.py for a console interface.

Key features of google-adk-mcp

  • Build a Google ADK agent using an external MCP server
  • Connect to the mcp-server-repairworld PyPI package
  • Create repair requests via conversational agent
  • List all repair requests
  • View a repair request by ID
  • Supports both web and console agent interfaces

Use cases of google-adk-mcp

  • Demonstrate ADK + MCP integration for repair management
  • Enable conversational creation of repair requests
  • Query repair request status and details through an agent

FAQ from google-adk-mcp

What prerequisites are needed?

Python 3.11+ and a running instance of the repair_world_application are required.

How do I run the agent?

You can run the agent in web mode with adk web (access UI at localhost:8000) or in console mode with python agent-repairworld.py.

Where does the MCP server come from?

The MCP server is the external package mcp-server-repairworld available on PyPI, installed via the project’s requirements.

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