How to integrate Google Analytics MCP with Google ADK

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Introduction

This guide walks you through connecting Google Analytics to Google ADK using the Composio tool router. By the end, you'll have a working Google Analytics agent that can show all google analytics accounts i manage, get detailed info for a specific account, list audiences for your ga4 property through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Google Analytics account through Composio's Google Analytics MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get a Google Analytics account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Google Analytics
  • Build an agent that connects to Google Analytics through MCP
  • Interact with Google Analytics using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Google Analytics MCP server, and what's possible with it?

The Google Analytics MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google Analytics account. It provides structured and secure access to your analytics data, enabling your agent to analyze traffic, retrieve account info, list audiences, and build custom datasets on your behalf.

  • View and manage analytics accounts: Let your agent retrieve detailed information about specific Google Analytics accounts or list all accounts you have access to.
  • Audience insights and segmentation: Easily have your agent list all audiences associated with a GA4 property, helping you understand and segment your visitors.
  • Create custom expanded datasets: Direct your agent to combine key dimensions and metrics into tailored datasets for deeper analysis and reporting.
  • Efficient property and resource discovery: Have your agent confirm the existence of properties and fetch their details, streamlining your analytics management workflow.

Supported Tools & Triggers

Tools
Archive Custom DimensionTool to archive a CustomDimension on a property.
Batch Run Pivot ReportsTool to return multiple pivot reports in a batch for a GA4 property.
Batch Run ReportsTool to return multiple analytics data reports in a batch.
Check CompatibilityTool to list dimensions and metrics compatible with a GA4 report request.
Create Audience ExportTool to create an audience export for Google Analytics.
Create Audience ListTool to create an audience list for later retrieval by initiating a long-running asynchronous request.
Create Custom DimensionTool to create a CustomDimension for a Google Analytics property.
Create Custom MetricTool to create a custom metric in Google Analytics.
Create Expanded Data SetTool to create an expanded data set for a property.
Create Recurring Audience ListTool to create a recurring audience list that automatically generates new audience lists daily based on the latest data.
Create Report TaskTool to create a report task as a long-running asynchronous request for customized Google Analytics event data reports.
Create Rollup PropertyTool to create a roll-up property.
Get AccountTool to retrieve a single Account by its resource name.
Get Attribution SettingsTool to retrieve attribution configuration for a Google Analytics property.
Get AudienceTool to retrieve a single Audience configuration from a Google Analytics property.
Get Audience ExportTool to get configuration metadata about a specific audience export.
Get Audience ListTool to get configuration metadata about a specific audience list.
Get Custom DimensionTool to retrieve a single CustomDimension by its resource name.
Get Data Retention SettingsTool to retrieve data retention configuration for a Google Analytics property.
Get Data Sharing SettingsTool to retrieve data sharing configuration for a Google Analytics account.
Get Google Signals SettingsTool to retrieve Google Signals configuration settings for a GA4 property.
Get Key EventTool to retrieve a Key Event.
Get MetadataTool to get metadata for dimensions, metrics, and comparisons for a GA4 property.
Get PropertyTool to retrieve a single GA4 Property by its resource name.
Get Property Quotas SnapshotTool to retrieve all property quotas organized by category (corePropertyQuota, funnelPropertyQuota, realtimePropertyQuota) for a given GA4 property.
Get Recurring Audience ListTool to get configuration metadata about a specific recurring audience list.
Get Report TaskTool to get report metadata about a specific report task.
List Account SummariesTool to retrieve summaries of all Google Analytics accounts accessible by the caller.
List Accounts (v1beta)Tool to list all Google Analytics accounts accessible by the caller using v1beta API.
List AdSense LinksTool to list all AdSenseLinks on a property.
List Audience ExportsTool to list all audience exports for a property.
List Audience ListsTool to list all audience lists for a specified property to help find and reuse existing lists.
List AudiencesTool to list Audiences on a property.
List BigQuery LinksTool to list BigQuery Links on a property.
List Calculated MetricsList Calculated Metrics
List Channel GroupsTool to list ChannelGroups on a property.
List Conversion EventsTool to list conversion events on a property.
List Custom DimensionsList Custom Dimensions
List Custom MetricsTool to list CustomMetrics on a property.
List DataStreamsTool to list DataStreams on a property.
List Display & Video 360 Advertiser LinksTool to list Display & Video 360 advertiser links on a property.
List DisplayVideo360 Advertiser Link ProposalsTool to list DisplayVideo360AdvertiserLinkProposals on a property.
List Event Create RulesTool to list EventCreateRules configured on a web data stream.
List Expanded Data SetsTool to list ExpandedDataSets on a property.
List Firebase LinksTool to list FirebaseLinks on a property.
List Google Ads LinksTool to list GoogleAdsLinks on a property.
List Key EventsTool to list Key Events.
List Measurement Protocol SecretsTool to list MeasurementProtocolSecrets under a data stream.
List PropertyTool to list GA4 properties based on filter criteria.
List Recurring Audience ListsTool to list all recurring audience lists for a GA4 property.
List Reporting Data AnnotationsTool to list all Reporting Data Annotations for a specific property.
List Report TasksTool to list all report tasks for a Google Analytics property.
List Search Ads 360 LinksTool to list all SearchAds360Links on a property.
List SKAdNetwork Conversion Value SchemasTool to list SKAdNetworkConversionValueSchema configurations for an iOS data stream.
List Subproperty Event FiltersTool to list all subproperty event filters on a property.
List Subproperty Sync ConfigsTool to list SubpropertySyncConfig resources for managing subproperty synchronization configurations.
Provision Account TicketTool to request a ticket for creating a Google Analytics account.
Query Audience ExportTool to query a completed audience export.
Query Audience ListTool to query an audience list.
Query Report TaskTool to retrieve a report task's content.
Run Funnel ReportTool to run a GA4 funnel report.
Run Pivot ReportTool to run a customized pivot report of Google Analytics event data.
Run Realtime ReportTool to run a customized realtime report of Google Analytics event data.
Run ReportTool to run a customized GA4 data report.
Send EventsTool to send event data to Google Analytics 4 using the Measurement Protocol.
Update PropertyTool to update an existing GA4 Property.
Validate EventsTool to validate Measurement Protocol events before sending them to production.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Google Analytics via MCP
  • python-dotenv loads environment variables

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["google_analytics"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Google Analytics operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Google Analytics and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["google_analytics"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Google Analytics operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Google Analytics with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Google Analytics using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Google Analytics tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

How to build Google Analytics MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Google Analytics MCP?

With a standalone Google Analytics MCP server, the agents and LLMs can only access a fixed set of Google Analytics tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google Analytics and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Google ADK?

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Google Analytics tools.

Can I manage the permissions and scopes for Google Analytics while using Tool Router?

Yes, absolutely. You can configure which Google Analytics scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Google Analytics data and credentials are handled as safely as possible.

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Letta
glean
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Agent.ai
Altera
DataStax
Entelligence
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Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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