Summary
Connects Claude to Google Analytics 4 properties via Pipeworx's gateway. You get four tools: run custom reports with dimensions and metrics, list accessible properties, pull realtime user counts, and fetch metadata to discover available fields. Useful when you need to query GA4 data conversationally instead of clicking through the web UI or writing API calls. The ask_pipeworx wrapper lets you ask analytics questions in plain English and it routes to the right tool automatically. Part of a larger gateway offering 673+ data sources, but works standalone if you only need GA4 access.
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one prompt install →mcp-google_analytics
Google Analytics MCP Pack
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
ga_run_report | Query GA4 analytics data by dimensions (e.g., "city", "pagePath") and metrics (e.g., "activeUsers", "sessions") for a date range. Returns aggregated data rows with dimension and metric values. |
ga_list_properties | List all GA4 properties you can access. Returns property IDs, names, creation dates, and account info. Use to find the property ID for ga_run_report queries. |
ga_get_realtime | Check live user activity in a GA4 property right now. Returns current active user count and real-time engagement metrics. Specify property ID (e.g., "123456789"). |
ga_get_metadata | Discover available dimensions and metrics for a GA4 property. Returns field names, descriptions, and data types to build accurate ga_run_report queries. |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"google_analytics": {
"url": "https://gateway.pipeworx.io/google_analytics/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/google_analytics/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Google_analytics data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
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Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
