google-analytics-mcp
Connects to Google Analytics 4 to run reports, manage configurations, and retrieve admin data using natural language.
README
Google Analytics (GA4) MCP Server
An MCP server that connects an MCP client (Claude Desktop, etc.) to Google Analytics 4. You log into your Google account once; after that every tool reports on the GA4 properties that login can access.
Built with the official google-analytics-data and google-analytics-admin
Python clients and FastMCP. Reporting, intelligence, charts, admin reads, and
write/management tools (creating/updating key events, custom dimensions/metrics,
and data streams).
Simpler than the Google Ads server: GA4 needs no developer token — just an OAuth client and your login.
Tools (45)
Reporting
| Tool | Purpose |
|---|---|
ga4_run_report |
Core report: metrics, dimensions, date range, filters, export to CSV/XLSX |
ga4_compare_periods |
Compare a current vs previous period with % change |
ga4_run_pivot_report |
Cross-tabulate dimensions (rows × columns) |
ga4_run_cohort_report |
Retention by acquisition cohort (daily/weekly/monthly) |
ga4_run_funnel_report |
Step-by-step funnel completion / drop-off |
ga4_run_realtime_report |
Realtime activity (last ~30 min) |
ga4_check_compatibility |
Which metrics + dimensions can be queried together |
ga4_get_metadata |
Discover valid metric & dimension names |
ga4_batch_run_reports |
Run up to 5 reports in one batched call |
ga4_property_overview |
One-call snapshot: totals, top channels & pages, devices, new vs returning |
Preset shortcuts (zero-config reports)
| Tool | Purpose |
|---|---|
ga4_top_pages |
Top pages by views |
ga4_traffic_by_channel |
Sessions & users by default channel group |
ga4_conversions_summary |
Conversions by event name |
ga4_trend |
A single metric over time (daily/weekly/monthly) |
Accounts & configuration (admin reads)
| Tool | Purpose |
|---|---|
ga4_list_account_summaries |
Accounts + their properties (find property IDs) |
ga4_list_properties |
Properties under an account |
ga4_list_data_streams |
Data streams (web measurement ID, app streams) |
ga4_list_custom_dimensions |
Custom dimensions on a property |
ga4_list_custom_metrics |
Custom metrics on a property |
ga4_list_key_events |
Key events (conversions) |
ga4_list_audiences |
Audiences |
ga4_list_google_ads_links |
Linked Google Ads accounts |
ga4_get_data_retention_settings |
Event-data retention settings |
ga4_search_change_history |
Who changed what, and when |
ga4_list_channel_groups |
Channel groups and their grouping rules |
Audience export (pull the actual users in an audience — async create → query)
| Tool | Purpose |
|---|---|
ga4_create_audience_export |
Start an export for an audience (waits for it to finish) |
ga4_list_audience_exports |
List exports and their state (CREATING/ACTIVE) |
ga4_query_audience_export |
Read the exported user rows |
Intelligence
| Tool | Purpose |
|---|---|
ga4_what_changed |
Top gainers/losers driving a metric's change between two periods |
ga4_detect_anomalies |
Flag days a metric deviated from its baseline (z-score) |
ga4_forecast_metric |
Project a metric forward with a linear trend |
Charts — ga4_chart_report: render a bar/line PNG of a metric by a dimension (saved to exports/).
More admin reads
| Tool | Purpose |
|---|---|
ga4_list_access_bindings |
Who has access (and roles) to an account/property |
ga4_list_bigquery_links |
BigQuery export links |
ga4_list_firebase_links |
Firebase project links |
ga4_list_measurement_protocol_secrets |
MP secrets for a data stream |
ga4_get_property_details |
Full property settings (industry, tz, currency, tier) |
ga4_get_enhanced_measurement_settings |
Enhanced-measurement toggles for a stream |
Write / management ⚠️ these modify your GA4 configuration
| Tool | Purpose |
|---|---|
ga4_create_key_event / ga4_update_key_event |
Create / update a key event (conversion) |
ga4_create_custom_dimension / ga4_update_custom_dimension |
Create / update a custom dimension |
ga4_create_custom_metric / ga4_update_custom_metric |
Create / update a custom metric |
ga4_create_data_stream |
Create a web data stream (returns its measurement ID) |
Filtering (in ga4_run_report)
Pass dimension_filters / metric_filters — a list of conditions. Set
filter_logic to AND (default) or OR; set negate: true on a condition for NOT.
Each condition has field, operator, and value (or values for IN_LIST,
or value + value_to for BETWEEN):
- String operators:
EXACT,CONTAINS,BEGINS_WITH,ENDS_WITH,REGEXP,IN_LIST - Numeric operators (metrics):
EQUAL,LESS_THAN,LESS_EQUAL,GREATER_THAN,GREATER_EQUAL,BETWEEN
Example: country is India and sessions > 100 → dimension filter country EXACT India
plus metric filter sessions GREATER_THAN 100.
More ga4_run_report options
- Sort by dimension:
order_by_dimension(+order_desc: falsefor ascending) — e.g. chronological bydate. - Totals:
include_totals: trueappends a totals row (and computes min/max). - Metadata: results note the currency, time zone, and warn if data is sampled or thresholded.
Export
Set export_path on ga4_run_report (e.g. report.csv or report.xlsx). Bare
filenames are written to an exports/ folder next to the server. CSV works out of
the box; XLSX needs openpyxl (already in requirements.txt).
Setup
0. Requirements
- Python 3.9+
- A GA4 property and a Google account with at least Viewer access to it.
1. Install dependencies
cd google-analytics-mcp
python -m pip install -r requirements.txt
2. Create an OAuth client (Desktop app)
- Create/select a project.
- APIs & Services → Library → enable both Google Analytics Data API and Google Analytics Admin API.
- APIs & Services → Credentials → Create credentials → OAuth client ID.
- Application type: Desktop app. Copy the client ID and client secret. (If the OAuth consent screen is in "Testing", add your Google account as a Test user.)
3. Log in to get your refresh token
python get_refresh_token.py
A browser opens — choose the Google account with access to your GA4 property and
approve. The script writes the client ID/secret + refresh token into .env.
4. Fill in .env
cp .env.example .env # Windows: copy .env.example .env
Required:
GOOGLE_ANALYTICS_CLIENT_ID=... # from step 2 (also written by step 3)
GOOGLE_ANALYTICS_CLIENT_SECRET=... # from step 2 (also written by step 3)
GOOGLE_ANALYTICS_REFRESH_TOKEN=... # from step 3
# Optional convenience:
GOOGLE_ANALYTICS_DEFAULT_PROPERTY_ID=... # numeric, e.g. 123456789
Find your Property ID in GA4: Admin → Property Settings → Property ID
(a number like 123456789).
5. Smoke-test
python -c "import server; print('server imports OK')"
Then verify credentials end-to-end (lists your accounts/properties):
python -c "import asyncio, server; from server import AccountSummariesInput; \
print(asyncio.run(server.ga4_list_account_summaries(AccountSummariesInput())))"
6. Connect to Claude Desktop
Edit claude_desktop_config.json (macOS:
~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\) — use the
absolute path to server.py:
{
"mcpServers": {
"google-analytics": {
"command": "python",
"args": ["/ABSOLUTE/PATH/TO/google-analytics-mcp/server.py"]
}
}
}
The server reads .env from its own folder, so no secrets go in this config.
Restart Claude Desktop.
Example prompts
- "List my GA4 accounts and properties."
- "Run a GA4 report of sessions and active users by country for the last 28 days."
- "Show screenPageViews by pagePath for last 7 days, top 20 by views."
- "What metrics and dimensions are available on property 123456789?"
- "How many active users are on the site right now, by country?"
- "Compare sessions and conversions for the last 28 days vs the prior 28 days."
- "Sessions from India only where sessions > 100, by city." (uses filters)
- "Export last month's traffic by channel to channel.xlsx."
- "Build a funnel: session_start → view_item → add_to_cart → purchase."
- "Weekly retention cohorts for the last 6 weeks."
- "Pivot sessions by country (rows) and device category (columns)."
Common GA4 names
- Metrics:
activeUsers,sessions,screenPageViews,conversions,totalRevenue,engagementRate,bounceRate,averageSessionDuration. - Dimensions:
date,country,city,deviceCategory,pagePath,sessionDefaultChannelGroup,firstUserSource,eventName.
Use ga4_get_metadata to see everything (including custom fields) for a property.
Troubleshooting
| Symptom | Fix |
|---|---|
Missing Google Analytics credentials: ... |
Fill the named vars in .env. |
invalid_grant / RefreshError |
Refresh token expired/revoked — re-run get_refresh_token.py. |
Permission denied |
The login lacks access to that property, or the Data/Admin APIs aren't enabled in your Cloud project. |
Not found |
Check the numeric property_id (Admin → Property Settings). |
Invalid request |
Check metric/dimension names (ga4_get_metadata) and date formats (YYYY-MM-DD or NdaysAgo). |
Security
.envholds secrets and is git-ignored — never commit it.- Scopes:
analytics.readonly(reporting + config reads),analytics.edit(config writes — the create/update tools), andanalytics.manage.users.readonly(reading access bindings). The edit scope lets the server change GA4 configuration, so treat the refresh token accordingly. After changing scopes you must re-runget_refresh_token.pyand re-consent.
Project layout
google-analytics-mcp/
├── server.py # FastMCP server + 6 tools
├── ga_client.py # credentials, client factories, error handling
├── get_refresh_token.py # one-time OAuth login -> refresh token
├── requirements.txt
├── .env.example # copy to .env and fill in
├── .gitignore
└── README.md
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