Model Context Protocol (MCP)¶

What is Model Context Protocol (MCP)?¶

The Model Context Protocol (MCP) is an open standard designed to standardize how Large Language Models (LLMs) like Gemini and Claude communicate with external applications, data sources, and tools. Think of it as a universal connection mechanism that simplifies how LLMs obtain context, execute actions, and interact with various systems.

How does MCP work?¶

MCP follows a client-server architecture, defining how data (resources), interactive templates (prompts), and actionable functions (tools) are exposed by an MCP server and consumed by an MCP client (which could be an LLM host application or an AI agent).

MCP Tools in ADK¶

ADK helps you both use and consume MCP tools in your agents, whether you're trying to build a tool to call an MCP service, or exposing an MCP server for other developers or agents to interact with your tools.

Refer to the MCP Tools documentation for code samples and design patterns that help you use ADK together with MCP servers, including:

Using Existing MCP Servers within ADK: An ADK agent can act as an MCP client and use tools provided by external MCP servers.
Exposing ADK Tools via an MCP Server: How to build an MCP server that wraps ADK tools, making them accessible to any MCP client.

MCP Toolbox for Databases¶

MCP Toolbox for Databases is an open source MCP server that helps you build Gen AI tools so that your agents can access data in your database. Google’s Agent Development Kit (ADK) has built in support for The MCP Toolbox for Databases.

Refer to the MCP Toolbox for Databases documentation on how you can use ADK together with the MCP Toolbox for Databases. For getting started with the MCP Toolbox for Databases, a blog post Tutorial : MCP Toolbox for Databases - Exposing Big Query Datasets and Codelab MCP Toolbox for Databases:Making BigQuery datasets available to MCP clients are also available.

GenAI Toolbox

ADK Agent and FastMCP server¶

FastMCP handles all the complex MCP protocol details and server management, so you can focus on building great tools. It's designed to be high-level and Pythonic; in most cases, decorating a function is all you need.

Refer to the MCP Tools documentation documentation on how you can use ADK together with the FastMCP server running on Cloud Run.

MCP Servers for Google Cloud Genmedia¶

MCP Tools for Genmedia Services is a set of open-source MCP servers that enable you to integrate Google Cloud generative media services—such as Imagen, Veo, Chirp 3 HD voices, and Lyria—into your AI applications.

Agent Development Kit (ADK) and Genkit provide built-in support for these MCP tools, allowing your AI agents to effectively orchestrate generative media workflows. For implementation guidance, refer to the ADK example agent and the Genkit example.