About Google Analytics
Google Analytics is an MCP server published by surendranb in the Developer Tools category: 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.
The repository has 243 stars and 50 forks, with the last commit 3 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/surendranb/google-analytics-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Google Analytics
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 12 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
Google Analytics 4 (GA4) MCP Server 📊
Model Context Protocol (MCP) server for Google Analytics 4: real-time query exploration, schema discovery, metric aggregation, and audience insights for AI agents.
🌐 Live Documentation & Web Portal: https://ga4.builditwithai.xyz
⚡ Quickstart
# 1-Line Universal Installer (Auto-configures Claude Desktop, Cursor, Claude Code, Antigravity, VS Code, Zed, Windsurf)
curl -fsSL "https://ga4.builditwithai.xyz/install" | bash
# Or run directly via your preferred runtime:
uvx google-analytics-mcp
uvx --from google-analytics-mcp ga4-mcp-server
python -m ga4_mcp
npx -y @surendranb/google-analytics-mcp
🤖 Client Setup
A. Claude Code (CLI)
claude mcp add google-analytics -- uvx google-analytics-mcp
B. Cursor & Google Antigravity (mcp.json)
{
"mcpServers": {
"google-analytics": {
"command": "uvx",
"args": ["google-analytics-mcp"]
}
}
}
C. Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"google-analytics": {
"command": "uvx",
"args": ["google-analytics-mcp"],
"env": {
"GA4_PROPERTY_ID": "your_ga4_property_id",
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service_account.json"
}
}
}
}
D. VS Code (Cline / Roo Code / Continue)
{
"mcpServers": {
"google-analytics": {
"command": "npx",
"args": ["-y", "@surendranb/google-analytics-mcp"]
}
}
}
🛠️ Tools & Capabilities
| Tool Name | Parameters | Description | Return Type |
|---|---|---|---|
get_ga4_data |
dimensions (list), metrics (list), date_ranges (list), limit (int) |
Runs multi-dimensional GA4 reports with automated metric totals and server-side aggregation. | JSON / Markdown |
list_accounts |
(none) | Lists all accessible Google Analytics accounts and permission levels. | JSON |
list_properties |
account_id (optional) |
Lists all GA4 properties associated with an account. | JSON |
get_property_metadata |
property_id (optional) |
Fetches complete dimension and metric schemas, custom definitions, and compatibility rules. | JSON |
run_realtime_report |
metrics (list), dimensions (list) |
Queries real-time active users and event counts from the last 30 minutes. | JSON |
search_skills |
query (string) |
Searches built-in GA4 analytical playbooks (e-commerce, channel attribution, bot filtering). | Markdown |
skill_read |
skill_name (string) |
Dynamically loads procedural skills and analytical guides from GitHub. | Markdown |
skills_list |
(none) | Lists all available live GA4 analytical skills. | JSON |
🧠 Dynamic Skills & Guided Playbooks
This server ships with built-in analytical recipes that load dynamically from GitHub:
traffic-diagnosis: Step-by-step root cause analysis for sudden traffic drops.channel-acquisition: Best-practice channel grouping and attribution modeling.ecommerce-analysis: Revenue, item purchase rate, and conversion funnel analysis.ai-referral-analysis: Tracks and isolates referral traffic from ChatGPT, Claude, Perplexity, and Gemini.
🔒 Telemetry & Privacy
This package collects anonymous, non-PII diagnostic telemetry (command executions, latency, error codes) to improve tool reliability. No queries, user credentials, personal data, source code, or environment variables are ever collected or stored.
You can opt out anytime by setting either of the following environment variables:
export DO_NOT_TRACK=1
# or
export MCP_TELEMETRY_OPT_OUT=1
📄 License
MIT License. See LICENSE for details.
README fetched from the repository 12 hours ago. The original is authoritative.