Google Analytics
Pull GA4 metrics, custom reports, and audience exports into Claude Code or Cursor without leaving the agent for funnel and retention checks.
Overview
com.mcparmory/google-analytics is a Grow-phase MCP server that lets your agent query GA4 with custom reports, pivot tables, and audience exports.
What is this MCP server?
- Query GA4 property data from the agent via MCP stdio (uvx PyPI or Docker OCI package).
- Build custom reports and pivot-style breakdowns for funnels, pages, and events.
- Export and work with audience segments for lifecycle and experiment follow-ups.
- Ships as com.mcparmory/google-analytics v1.0.3 with two install paths: pypi and oci.
- Pairs with growth workflows: weekly metrics reviews, pre-launch baseline snapshots, and post-campaign readouts.
- Server version 1.0.3
- 2 published packages: PyPI (mcparmory-google-analytics) and OCI (ghcr.io/mcparmory/google-analytics:1.0.3)
- Transport: stdio only per server.schema.json
Community signal: 25 GitHub stars.
What problem does it solve?
Solo builders lose hours context-switching between GA4 and their editor when they only need a quick funnel or audience slice to decide what to build next.
Who is it for?
Founders with an existing GA4 property who want agent-assisted weekly metrics, campaign readouts, and audience exports without building a custom API integration.
Skip if: Teams that have not configured GA4, need server-side tagging only, or want a full BI warehouse instead of Google’s analytics product.
What do I get? / Deliverables
After you register this MCP server, your agent can pull GA4 answers on demand so growth decisions stay tied to live property data.
- Agent-queryable GA4 custom reports and pivots
- Audience export data usable in follow-up agent tasks
- Repeatable growth readouts without manual GA4 UI navigation
Recommended MCP Servers
Journey fit
Analytics belongs on the Grow shelf because solo builders use GA4 after ship to measure traffic, conversions, and cohort behavior. The analytics subphase is the canonical home for reporting and exploration tools tied to product usage data rather than infra or marketing copy.
How it compares
GA4 query MCP integration, not a standalone analytics skill or dashboard template.
Common Questions / FAQ
Who is com.mcparmory/google-analytics for?
It is for solo builders and small teams who already use GA4 and want Claude Code or Cursor to run reports and audience exports through MCP.
When should I use com.mcparmory/google-analytics?
Use it during Grow when reviewing signups, content performance, or experiment results and you want answers from GA4 inside the same agent session.
How do I add com.mcparmory/google-analytics to my agent?
Add the stdio MCP server using uvx mcparmory-google-analytics or the ghcr.io/mcparmory/google-analytics Docker image, then configure Google OAuth or service credentials per the registry docs.