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ga4-mcp-server

ga4-mcp-server

by burhan29ee

ga4-mcp-server

CI License: MIT Python 3.10+

A Model Context Protocol (MCP) server for Google Analytics 4 with both read and write access. Connect it to Claude (or any MCP client) and pull reports, manage configuration, build remarketing audiences, and send server-side events — in natural language, using your own Google credentials. No third-party service, no subscription.

Most GA4 MCP servers are read-only. This one also writes: it can create custom dimensions and metrics, mark conversions, create audiences (for remarketing lists you can share to Google Ads), and manage/use the Measurement Protocol.

Features

Read

  • List accounts and properties, property details, and data streams

  • Run GA4 reports (run_report) and realtime reports (run_realtime_report)

  • List custom dimensions, custom metrics, key events (conversions), and audiences

Write

  • Create and archive custom dimensions

  • Create custom metrics

  • Create key events (conversions)

  • Create and archive audiences (e.g. everyone who fired generate_lead in the last 30 days)

  • Create / list / delete Measurement Protocol API secrets

  • Send events into a property via the Measurement Protocol (with a validate=True mode that checks the payload without ingesting it)

Related MCP server: MCP Google Suite

Requirements

  • Python 3.10+ (the MCP SDK requires it)

  • A Google Cloud project and a service account with a JSON key

  • The service account granted access on your GA4 account/property (Viewer/Analyst for reads, Editor for writes)

Google setup (one time)

  1. In the Google Cloud Console, create (or pick) a project.

  2. Enable the Google Analytics Data API and the Google Analytics Admin API for that project.

  3. Create a service account and download a JSON key for it.

  4. In Google Analytics → Admin → Account (or Property) access management, add the service account's email (...@your-project.iam.gserviceaccount.com) as a user — Editor if you want write access.

That's it — no OAuth consent screen, no token refresh. The service account authenticates directly.

Install

Using uv (recommended — it manages an isolated Python for you):

git clone https://github.com/burhan29ee/ga4-mcp-server.git
cd ga4-mcp-server
uv venv --python 3.12 .venv
uv pip install --python .venv/bin/python -e .

Or with pip:

python3 -m venv .venv && source .venv/bin/activate
pip install -e .

Configure your MCP client

Point the server at your service-account key with the GOOGLE_APPLICATION_CREDENTIALS environment variable, then add it to your client. For Claude Desktop, edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%\Claude\claude_desktop_config.json):

{
  "mcpServers": {
    "ga4": {
      "command": "/absolute/path/to/ga4-mcp-server/.venv/bin/python",
      "args": ["-m", "ga4_mcp_server.server"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/absolute/path/to/service-account-key.json"
      }
    }
  }
}

Restart the client. You should be able to ask things like "list my GA4 properties," "pull last 28 days of users and conversions by channel," or "create a remarketing audience of everyone who registered for a webinar in the last 60 days."

Tool reference

Tool

Type

What it does

list_account_summaries

read

List accounts and their properties

get_property_details

read

Property name, time zone, currency, industry

list_data_streams

read

Web/app streams and their measurement IDs

run_report

read

GA4 report by metrics/dimensions/date range

run_realtime_report

read

Realtime report (last ~30 min)

list_custom_dimensions

read

Custom dimensions on a property

create_custom_dimension

write

Create a custom dimension

archive_custom_dimension

write

Archive a custom dimension

list_custom_metrics

read

Custom metrics on a property

create_custom_metric

write

Create a custom metric

list_key_events

read

Key events (conversions)

create_key_event

write

Mark an event as a conversion

list_audiences

read

Audiences on a property

create_event_audience

write

Create an audience of users who fired an event

archive_audience

write

Archive an audience

list_measurement_protocol_secrets

read

MP API secrets for a stream

create_measurement_protocol_secret

write

Create an MP API secret

delete_measurement_protocol_secret

write

Delete an MP API secret

send_ga4_event

write

Send an event via the Measurement Protocol

Development

pip install -e ".[dev]"
ruff check .
pytest -q

See CONTRIBUTING.md for the full workflow.

Security

The service-account key is a credential — treat it like a password. Never commit it (the .gitignore blocks key files), grant the service account the least access it needs, and rotate the key if it's ever exposed. See SECURITY.md for details and how to report a vulnerability.

Notes

  • The mcp dependency is pinned to >=1.2,<2. The 2.0 SDK reorganized its API and removed mcp.server.fastmcp, which this server uses.

  • Audiences use the GA4 Admin v1alpha API; the rest use the stable v1beta and Data APIs.

  • This is an independent open-source project and is not affiliated with or endorsed by Google.

License

MIT

Available Tools

19 tools
archive_audienceA

Archive a GA4 audience. audience_id may be the numeric id or the full 'properties/NNN/audiences/MMM' name.

Inputs: audience_id (required), property_id (required).

archive_custom_dimensionB

Archive (delete) a custom dimension. custom_dimension_id may be the numeric id or the full 'properties/NNN/customDimensions/MMM' name.

Inputs: property_id (required), custom_dimension_id (required).

create_custom_dimensionB

Create a custom dimension. parameter_name is the event parameter / user property key; scope is 'EVENT', 'USER' or 'ITEM'. display_name may contain only letters, numbers, underscores and spaces.

Inputs: property_id (required), display_name (required), parameter_name (required), scope, +1 more.

create_custom_metricC

Create a custom metric. measurement_unit is one of STANDARD, CURRENCY, FEET, METERS, KILOMETERS, MILES, MILLISECONDS, SECONDS, MINUTES, HOURS.

Inputs: property_id (required), display_name (required), parameter_name (required), scope, +2 more.

create_event_audienceA

Create a GA4 audience of users who triggered a given event (e.g. 'purchase', 'generate_lead') — useful for remarketing lists that can be shared to Google Ads. membership_duration_days is how long a user stays in the audience (max 540).

Inputs: event_name (required), property_id (required), display_name (required), description, +1 more.

create_key_eventA

Mark an event as a key event (conversion). counting_method is 'ONCE_PER_EVENT' or 'ONCE_PER_SESSION'.

Inputs: event_name (required), property_id (required), counting_method.

create_measurement_protocol_secretA

Create a Measurement Protocol API secret on a data stream. Returns the secret_value (api_secret) needed by send_ga4_event. Treat it as sensitive.

Inputs: stream_id (required), property_id (required), display_name (required).

delete_measurement_protocol_secretB

Delete a Measurement Protocol API secret. secret_id may be the numeric id or the full resource name.

Inputs: secret_id (required), stream_id (required), property_id (required).

get_property_detailsA

Get configuration details for one GA4 property (name, time zone, currency, industry, create time).

Inputs: property_id (required).

list_account_summariesA

List every GA4 account and its properties the service account can see. Returns account name/id plus each property's display name and numeric id. Call this first to discover property ids for the other tools.

Inputs: no named parameters. Returns: result

list_audiencesB

List audiences defined on a GA4 property.

Inputs: property_id (required). Returns: result

list_custom_dimensionsA

List custom dimensions defined on a GA4 property.

Inputs: property_id (required). Returns: result

list_custom_metricsB

List custom metrics defined on a GA4 property.

Inputs: property_id (required). Returns: result

list_data_streamsA

List the data streams (web/app) on a GA4 property. The stream id (last path segment of 'name') is needed by the Measurement Protocol secret tools.

Inputs: property_id (required). Returns: result

list_key_eventsB

List key events (conversions) on a GA4 property.

Inputs: property_id (required). Returns: result

list_measurement_protocol_secretsA

List Measurement Protocol API secrets for a data stream. stream_id is the numeric id from list_data_streams.

Inputs: stream_id (required), property_id (required). Returns: result

run_realtime_reportA

Run a GA4 realtime report (last ~30 minutes). Example: metrics ['activeUsers'], dimensions ['country','unifiedScreenName'].

Inputs: metrics (required), property_id (required), limit, dimensions.

run_reportC

Run a GA4 report. metrics/dimensions are GA4 API names (e.g. metrics ['activeUsers','conversions'], dimensions ['date','sessionDefaultChannelGroup']). Dates accept YYYY-MM-DD or relative forms like '28daysAgo' / 'today'.

Inputs: metrics (required), property_id (required), limit, end_date, +2 more.

send_ga4_eventA

Send an event into a GA4 property via the Measurement Protocol. measurement_id is the stream's 'G-XXXXXXX'; api_secret comes from a Measurement Protocol secret; client_id identifies the user/device. Set validate=True to hit GA4's debug/validation endpoint (checks the payload WITHOUT ingesting it) — recommended before real sends.

Inputs: client_id (required), api_secret (required), event_name (required), measurement_id (required), +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action—accounts, properties, streams, reports, custom dimensions/metrics, key events, audiences, secrets, and event sending. No two tools overlap in purpose; even similar operations (archive vs. delete) are clearly differentiated by resource type.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (list_*, create_*, get_*, run_*, archive_*, delete_*, send_*). The use of 'archive' for some resources and 'delete' for others reflects GA4 API conventions rather than inconsistency.

    Tool Count4/5

    At 19 tools, the set is on the heavier side but still well-scoped for GA4 management, covering configuration, reporting, audience creation, and Measurement Protocol. Each tool serves a distinct purpose, though some trimming could be possible.

    Completeness3/5

    The surface covers core workflows but has notable gaps: no update/archive for custom metrics, no update for audiences, no delete for key events, and no tools for user properties or property management. These omissions could force workarounds but don't break the primary use cases.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

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