Google Analytics Automation via Rube MCP

Automate Google Analytics 4 (GA4) reporting and property management through Composio's Google Analytics toolkit via Rube MCP.

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Google Analytics connection via
```
RUBE_MANAGE_CONNECTIONS
```
with toolkit
```
google_analytics
```
Always call
```
RUBE_SEARCH_TOOLS
```
first to get current tool schemas

Setup

Get Rube MCP: Add

https://rube.app/mcp

as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming
```
RUBE_SEARCH_TOOLS
```
responds
Call
```
RUBE_MANAGE_CONNECTIONS
```
with toolkit
```
google_analytics
```
If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. List Accounts and Properties

When to use: User wants to discover available GA4 accounts and properties

Tool sequence:

```
GOOGLE_ANALYTICS_LIST_ACCOUNTS
```
- List all accessible GA4 accounts [Required]
```
GOOGLE_ANALYTICS_LIST_PROPERTIES
```
- List properties under an account [Required]

Key parameters:

```
pageSize
```
: Number of results per page
```
pageToken
```
: Pagination token from previous response
```
filter
```
: Filter expression for properties (e.g.,
```
parent:accounts/12345
```
)

Pitfalls:

Property IDs are numeric strings prefixed with 'properties/' (e.g., 'properties/123456')
Account IDs are prefixed with 'accounts/' (e.g., 'accounts/12345')
Always list accounts first, then properties under each account
Pagination required for organizations with many properties

2. Run Standard Reports

When to use: User wants to query metrics and dimensions from GA4 data

Tool sequence:

```
GOOGLE_ANALYTICS_LIST_PROPERTIES
```
- Get property ID [Prerequisite]
```
GOOGLE_ANALYTICS_GET_METADATA
```
- Discover available dimensions and metrics [Optional]
```
GOOGLE_ANALYTICS_CHECK_COMPATIBILITY
```
- Verify dimension/metric compatibility [Optional]
```
GOOGLE_ANALYTICS_RUN_REPORT
```
- Execute the report query [Required]

Key parameters:

```
property
```
: Property ID (e.g., 'properties/123456')
```
dateRanges
```
: Array of date range objects with
```
startDate
```
and
```
endDate
```
```
dimensions
```
: Array of dimension objects with
```
name
```
field
```
metrics
```
: Array of metric objects with
```
name
```
field
```
dimensionFilter
```
/
```
metricFilter
```
: Filter expressions
```
orderBys
```
: Sort order configuration
```
limit
```
: Maximum rows to return
```
offset
```
: Row offset for pagination

Pitfalls:

Date format is 'YYYY-MM-DD' or relative values like 'today', 'yesterday', '7daysAgo', '30daysAgo'
Not all dimensions and metrics are compatible; use CHECK_COMPATIBILITY first
Use GET_METADATA to discover valid dimension and metric names
Maximum 9 dimensions per report request
Row limit defaults vary; set explicitly for large datasets
```
offset
```
is for result pagination, not date pagination

3. Run Batch Reports

When to use: User needs multiple different reports from the same property in one call

Tool sequence:

```
GOOGLE_ANALYTICS_LIST_PROPERTIES
```
- Get property ID [Prerequisite]
```
GOOGLE_ANALYTICS_BATCH_RUN_REPORTS
```
- Execute multiple reports at once [Required]

Key parameters:

```
property
```
: Property ID (required)
```
requests
```
: Array of individual report request objects (same structure as RUN_REPORT)

Pitfalls:

Maximum 5 report requests per batch call
All reports in a batch must target the same property
Each individual report has the same dimension/metric limits as RUN_REPORT
Batch errors may affect all reports; check individual report responses

4. Run Pivot Reports

When to use: User wants cross-tabulated data (rows vs columns) like pivot tables

Tool sequence:

```
GOOGLE_ANALYTICS_LIST_PROPERTIES
```
- Get property ID [Prerequisite]
```
GOOGLE_ANALYTICS_RUN_PIVOT_REPORT
```
- Execute pivot report [Required]

Key parameters:

```
property
```
: Property ID (required)
```
dateRanges
```
: Date range objects
```
dimensions
```
: All dimensions used in any pivot
```
metrics
```
: Metrics to aggregate
```
pivots
```
: Array of pivot definitions with
```
fieldNames
```
,
```
limit
```
, and
```
orderBys
```

Pitfalls:

Dimensions used in pivots must also be listed in top-level
```
dimensions
```
Pivot
```
fieldNames
```
reference dimension names from the top-level list
Complex pivots with many dimensions can produce very large result sets
Each pivot has its own independent
```
limit
```
and
```
orderBys
```

5. Run Funnel Reports

When to use: User wants to analyze conversion funnels and drop-off rates

Tool sequence:

```
GOOGLE_ANALYTICS_LIST_PROPERTIES
```
- Get property ID [Prerequisite]
```
GOOGLE_ANALYTICS_RUN_FUNNEL_REPORT
```
- Execute funnel analysis [Required]

Key parameters:

```
property
```
: Property ID (required)
```
dateRanges
```
: Date range objects
```
funnel
```
: Funnel definition with
```
steps
```
array
```
funnelBreakdown
```
: Optional dimension to break down funnel by

Pitfalls:

Funnel steps are ordered; each step defines a condition users must meet
Steps use filter expressions similar to dimension/metric filters
Open funnels allow entry at any step; closed funnels require sequential progression
Funnel reports may take longer to process than standard reports

6. Manage Key Events

When to use: User wants to view or manage conversion events (key events) in GA4

Tool sequence:

```
GOOGLE_ANALYTICS_LIST_PROPERTIES
```
- Get property ID [Prerequisite]
```
GOOGLE_ANALYTICS_LIST_KEY_EVENTS
```
- List all key events for the property [Required]

Key parameters:

```
parent
```
: Property resource name (e.g., 'properties/123456')
```
pageSize
```
: Number of results per page
```
pageToken
```
: Pagination token

Pitfalls:

Key events were previously called "conversions" in GA4
Property must have key events configured to return results
Key event names correspond to GA4 event names

Common Patterns

ID Resolution

Account name -> Account ID:

1. Call GOOGLE_ANALYTICS_LIST_ACCOUNTS
2. Find account by displayName
3. Extract name field (e.g., 'accounts/12345')

Property name -> Property ID:

1. Call GOOGLE_ANALYTICS_LIST_PROPERTIES with filter
2. Find property by displayName
3. Extract name field (e.g., 'properties/123456')

Dimension/Metric Discovery

1. Call GOOGLE_ANALYTICS_GET_METADATA with property ID
2. Browse available dimensions and metrics
3. Call GOOGLE_ANALYTICS_CHECK_COMPATIBILITY to verify combinations
4. Use verified dimensions/metrics in RUN_REPORT

Pagination

Reports: Use
```
offset
```
and
```
limit
```
for row pagination
Accounts/Properties: Use
```
pageToken
```
from response
Continue until
```
pageToken
```
is absent or
```
rowCount
```
reached

Common Dimensions and Metrics

Dimensions:

date

city

country

deviceCategory

sessionSource

sessionMedium

pagePath

pageTitle

eventName

Metrics:

activeUsers

sessions

screenPageViews

eventCount

conversions

totalRevenue

bounceRate

averageSessionDuration

Known Pitfalls

Property IDs:

Always use full resource name format: 'properties/123456'
Numeric ID alone will cause errors
Resolve property names to IDs via LIST_PROPERTIES

Date Ranges:

Format: 'YYYY-MM-DD' or relative ('today', 'yesterday', '7daysAgo', '30daysAgo')
Data processing delay means today's data may be incomplete
Maximum date range varies by property configuration

Compatibility:

Not all dimensions work with all metrics
Always verify with CHECK_COMPATIBILITY before complex reports
Custom dimensions/metrics have specific naming patterns

Response Parsing:

Report data is nested in
```
rows
```
array with
```
dimensionValues
```
and
```
metricValues
```
Values are returned as strings; parse numbers explicitly
Empty reports return no
```
rows
```
key (not an empty array)

Quick Reference

Task	Tool Slug	Key Params
List accounts	GOOGLE_ANALYTICS_LIST_ACCOUNTS	pageSize, pageToken
List properties	GOOGLE_ANALYTICS_LIST_PROPERTIES	filter, pageSize
Get metadata	GOOGLE_ANALYTICS_GET_METADATA	property
Check compatibility	GOOGLE_ANALYTICS_CHECK_COMPATIBILITY	property, dimensions, metrics
Run report	GOOGLE_ANALYTICS_RUN_REPORT	property, dateRanges, dimensions, metrics
Batch reports	GOOGLE_ANALYTICS_BATCH_RUN_REPORTS	property, requests
Pivot report	GOOGLE_ANALYTICS_RUN_PIVOT_REPORT	property, dateRanges, pivots
Funnel report	GOOGLE_ANALYTICS_RUN_FUNNEL_REPORT	property, dateRanges, funnel
List key events	GOOGLE_ANALYTICS_LIST_KEY_EVENTS	parent, pageSize

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

google-analytics-automation

NPX Install

Tags

SKILL.md Content

Google Analytics Automation via Rube MCP

Prerequisites

Setup

Core Workflows

1. List Accounts and Properties

2. Run Standard Reports

3. Run Batch Reports

4. Run Pivot Reports

5. Run Funnel Reports

6. Manage Key Events

Common Patterns

ID Resolution

Dimension/Metric Discovery

Pagination

Common Dimensions and Metrics

Known Pitfalls

Quick Reference

When to Use