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google-analytics-mcp
Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.
211stars
45forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Connects Google Analytics 4 data to AI agents and MCP clients for live website traffic analysis without manual data wrangling.
Use this when
- Debugging sudden traffic drops with live data
- Answering user behavior questions without exporting spreadsheets
- Building agentic dashboards that update automatically
- Comparing campaign performance across regions
- Monitoring real-time user engagement metrics
Don't use when
- Need raw event-level data for custom processing
- Working with Universal Analytics properties
- Handling data from non-Google analytics platforms
Capabilities
- Live schema discovery for GA4 dimensions and metrics
- Server-side aggregation to reduce data volume
- Safe defaults that prevent API quota overload
- Portable MCP server for AI agents and IDE copilots
- Multi-property support with property ID configuration
- Built-in dimension category exploration
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest surendranb/google-analytics-mcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx google-analytics-mcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"google-analytics-mcp": {
"command": "uvx",
"args": [
"google-analytics-mcp"
]
}
}
}Loading README…
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