MCPNewReviewed

Google Analytics MCP

Explore Google Analytics data from an AI agent

Visit website ↗View GitHub

PricingOpen Source

CategoryMCP

Data checkedManually checked

Launch dateJul 21, 2026

Overview

What is Google Analytics MCP?

The official Google Analytics MCP server connects agents to the Analytics Admin and Data APIs. It can discover accounts and properties, run standard, funnel and realtime reports, inspect custom dimensions and review linked Google Ads accounts.

Google Analytics MCP is designed to make SEO capabilities available inside an agent workflow. Instead of moving data manually between a browser, reports and an AI client, teams can expose supported operations through a structured integration.

Best forTechnical SEO teams and builders connecting AI agents to live search data or actions.

Primary workflowAgent-to-data integration

Delivery modelMCP integration for supported AI clients

Pricing modelOpen Source

Product gallery / 01

See Google Analytics MCP in context

Capabilities

What it helps you do

GA4 account and property discovery

Use ga4 account and property discovery during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.

Standard and funnel reports

Standard and funnel reports is one of Google Analytics MCP’s documented core capabilities. Its exact scope can vary by plan, deployment and integration, so validate it against the current product documentation.

Realtime analytics

Realtime analytics is one of Google Analytics MCP’s documented core capabilities. Its exact scope can vary by plan, deployment and integration, so validate it against the current product documentation.

Custom dimensions and metrics

Custom dimensions and metrics is one of Google Analytics MCP’s documented core capabilities. Its exact scope can vary by plan, deployment and integration, so validate it against the current product documentation.

Workflow

How Google Analytics MCP fits into the work

GA4 account and property discovery

Use ga4 account and property discovery during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.

Standard and funnel reports

Realtime analytics

Decision guide

What to know before choosing

A good fit when

✓You need support for MCP and Analytics in a defined workflow.
✓You want inspectable source code and are comfortable owning setup, hosting or maintenance.
✓Your stack already includes or can work with Gemini CLI, Claude Code, Codex, Cursor.

Verify before adopting

→Confirm which capabilities are included in the current open source offering and whether usage limits apply.
→Review authentication, permissions, supported clients and the data each exposed tool can access.
→Validate the depth and scale of custom dimensions and metrics for your team.