About
Google Analytics MCP Pack
Remote endpoints: streamable-http: https://gateway.pipeworx.io/google_analytics/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (172/172 approved). 1 finding(s) downgraded by scanner intelligence.
5 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-google-analytics": {
"url": "https://gateway.pipeworx.io/google_analytics/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
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