Google Analytics 4 MCP Server
Enables managing Google Analytics 4 properties, data streams, conversions, and running reports using natural language through the Admin and Data APIs.
README
Google Analytics 4 MCP Server
<!-- mcp-name: io.github.stucchi/google-analytics -->
MCP server for Google Analytics 4 — create properties, configure data streams, manage conversions, and run reports via the Admin & Data APIs.
Setup (one-time, ~3 minutes)
-
Google Cloud Console → IAM & Admin → Service Accounts
- Create a service account (any name)
- Click it → Keys → Add Key → JSON → Download
-
Enable APIs in your GCP project:
-
GA4 Admin → Property Access Management → Add the service account email (from the JSON) as Editor
-
Configure credentials (pick one):
- Option A (recommended): Copy the JSON content into the
GA_CREDENTIALSenv var in your MCP config - Option B: Save the file to
~/.google-analytics-4-mcp/credentials.json
- Option A (recommended): Copy the JSON content into the
Done. No browser flow, no consent screen, no tokens to refresh.
Installation
Claude Code
claude mcp add google-analytics -e GA_CREDENTIALS='{"type":"service_account",...}' -- uvx google-analytics-4-mcp
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"google-analytics": {
"command": "uvx",
"args": ["google-analytics-4-mcp"],
"env": {
"GA_CREDENTIALS": "{\"type\":\"service_account\",\"project_id\":\"...\", ...}"
}
}
}
}
From source
git clone https://github.com/stucchi/mcp-google-analytics.git
cd mcp-google-analytics
uv run google-analytics-4-mcp
Getting Started
- Check auth: Call
check_auth_statusto verify the service account is configured - List accounts: Call
list_accountsto see your GA4 accounts - Setup a property: Use
create_property→create_web_data_stream→get_tracking_snippet - Query data: Use
run_reportwith dimensions and metrics
Tools (23)
Auth
| Tool | Description |
|---|---|
check_auth_status |
Verify service account is configured and valid |
Admin API
| Tool | Description |
|---|---|
list_accounts |
List accessible GA4 accounts |
list_properties |
List properties for an account |
create_property |
Create a GA4 property |
get_property |
Get property details |
delete_property |
Soft-delete a property |
list_data_streams |
List data streams |
create_web_data_stream |
Create web stream → get Measurement ID |
delete_data_stream |
Delete a data stream |
get_tracking_snippet |
Generate gtag.js HTML snippet |
list_key_events |
List conversion events |
create_key_event |
Mark event as conversion |
delete_key_event |
Remove conversion |
list_custom_dimensions |
List custom dimensions |
create_custom_dimension |
Create custom dimension |
list_custom_metrics |
List custom metrics |
create_custom_metric |
Create custom metric |
list_google_ads_links |
List Google Ads links |
create_google_ads_link |
Link Google Ads account |
get_measurement_protocol_secret |
Get/create Measurement Protocol secret |
Data API
| Tool | Description |
|---|---|
run_report |
Run report with dimensions, metrics, dates, filters |
run_realtime_report |
Real-time active users and events |
get_metadata |
List available dimensions and metrics |
Environment Variables
| Variable | Default | Description |
|---|---|---|
GA_CREDENTIALS |
— | Service Account JSON key content (copy-paste the entire JSON) |
GA_CREDENTIALS_PATH |
~/.google-analytics-4-mcp/credentials.json |
Alternative: path to the JSON key file |
GA_CREDENTIALS takes priority over GA_CREDENTIALS_PATH.
Example Usage
You: "Set up Google Analytics for my website https://mcpadvisor.stucchi.consulting"
Assistant calls: list_accounts → create_property → create_web_data_stream → get_tracking_snippet
Result: Property created with Measurement ID G-XXXXXXXXXX and ready-to-paste HTML snippet.
You: "Show me the top 10 countries by sessions in the last 7 days"
Assistant calls: run_report(property_id="...", dimensions=["country"], metrics=["sessions"], start_date="7daysAgo", limit=10)
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.