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About
Google Analytics MCP Pack
Remote endpoints: streamable-http: https://gateway.pipeworx.io/google_analytics/mcp
Security Report
10.0
Low Risk10.0Low RiskValid 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 250+ 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"
}
}
}
Or connect to the full Pipeworx gateway for access to all 250+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English:
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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