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MCP AI Agent with Google ADK, Google Maps, and Opik

@luuisotorres

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

luuisotorres

关于 MCP AI Agent with Google ADK, Google Maps, and Opik

AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.

#python#mcp#artificial-intelligence#openai#google-maps-api#ai-agents#opik#comet-ml#ai-agent#llm-agent#llm-tools#gpt-4o#model-context-protocol#mcp-server#model-context-protocol-servers#adk-python

MCP AI Agent with Google ADK, Google Maps, and Opik 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-ai-agent": {
      "command": "uv",
      "args": [
        "venv",
        "#",
        "Create",
        "a",
        "virtual",
        "environment",
        "(e.g.,",
        ".venv)"
      ]
    }
  }
}

MCP AI Agent with Google ADK, Google Maps, and Opik 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP AI Agent with Google ADK, Google Maps, and Opik?

This project demonstrates how to build an AI agent using the Google Agent Development Kit (ADK), OpenAI’s GPT‑4o model, the Google Maps MCP Server, and Opik for observability with CometML. It is designed for developers who want to learn agent development principles and see the Model Context Protocol (MCP) applied in practice.

How to use MCP AI Agent with Google ADK, Google Maps, and Opik?

Clone the repository, create a virtual environment with uv, install dependencies, and copy .env.example to .env with your API keys. Then run uv run adk web to start the ADK web UI at http://127.0.0.1:8000, where you can interact with the agent. The Google Maps MCP Server is started automatically via npx when needed.

Key features of MCP AI Agent with Google ADK, Google Maps, and Opik

  • Built with Google Agent Development Kit (ADK)
  • Uses OpenAI’s GPT‑4o model via LiteLLM
  • Integrates Google Maps MCP Server for location tools
  • Exposes seven Google Maps tools (directions, geocode, etc.)
  • Traces all agent interactions with Opik in CometML
  • Provides a web UI for debugging and conversation inspection

Use cases of MCP AI Agent with Google ADK, Google Maps, and Opik

  • Get turn‑by‑turn driving, walking, or cycling directions
  • Convert addresses to geographic coordinates and vice versa
  • Retrieve elevation data for given coordinates
  • Search for places (restaurants, landmarks) and get details
  • Calculate travel time and distance between multiple points

常见问题

1

What are the prerequisites to run this project?

Python 3.11, `uv` (Python package manager), Node.js and npm/npx (to run the Google Maps MCP Server), and API keys for Google Maps Platform, OpenAI, and CometML.

2

How does the Google Maps MCP server start?

The ADK’s `MCPToolset` is configured to automatically start the server via `npx` when the agent needs to use its tools, so no manual startup is required.

3

Which Google Maps tools are available to the agent?

The agent can use: `maps_directions`, `maps_geocode`, `maps_reverse_geocode`, `maps_elevation`, `maps_search_places`, `maps_place_details`, and `maps_distance_matrix`.

4

Where are agent traces stored?

Traces are sent to CometML using the Opik observability library, which provides a rich UI to inspect LLM calls, tool usage, and overall agent behavior.

5

What AI model does the agent use?

The agent uses OpenAI’s GPT‑4o model, accessed through the LiteLLM integration within the Google ADK.

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