Google Analytics Automation

Name: Google Analytics Automation
Availability: InStock
Author: ComposioHQ

Free Verified 227 lines By ComposioHQ ★ 41,201 on GitHub Analytics CRO

Description

“Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.”

How It Works

Click to enlarge

What Claude Learns

→ Prerequisites
→ Setup
→ Core Workflows
→ Common Patterns
→ Known Pitfalls

Installation

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

Stack & Dependencies

{'mcp': ['rube']}

Use Cases

Prerequisites

Using {'mcp': ['rube']}

Core Workflows

Using {'mcp': ['rube']}

Common Patterns

Using {'mcp': ['rube']}

Known Pitfalls

Using {'mcp': ['rube']}

Related Skills

Frequently Asked Questions

What technologies does Google Analytics Automation require?

This skill works with {'mcp': ['rube']}. Make sure these are available in your project before using the skill with Claude Code.

How detailed is the Google Analytics Automation skill?

Google Analytics Automation contains 227 lines of structured instructions covering 5 key areas. It provides comprehensive guidance including specific implementation patterns, not just surface-level tips.

Is Google Analytics Automation free to use?

Yes, Google Analytics Automation is completely free. You can download the SKILL.md file or copy it to your clipboard directly from the skill page.

What will Claude Code learn from this skill?

Claude Code will gain expertise in: Prerequisites; Setup; Core Workflows; and 2 more areas.

Download SKILL.md GitHub

---
name: google-analytics-automation
description: "Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas."
requires:
  mcp: [rube]
---

# 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.

1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds
2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `google_analytics`
3. If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
4. 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**:
1. `GOOGLE_ANALYTICS_LIST_ACCOUNTS` - List all accessible GA4 accounts [Required]
2. `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**:
1. `GOOGLE_ANALYTICS_LIST_PROPERTIES` - Get property ID [Prerequisite]
2. `GOOGLE_ANALYTICS_GET_METADATA` - Discover available dimensions and metrics [Optional]
3. `GOOGLE_ANALYTICS_CHECK_COMPATIBILITY` - Verify dimension/metric compatibility [Optional]
4. `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**:
1. `GOOGLE_ANALYTICS_LIST_PROPERTIES` - Get property ID [Prerequisite]
2. `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**:
1. `GOOGLE_ANALYTICS_LIST_PROPERTIES` - Get property ID [Prerequisite]
2. `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**:
1. `GOOGLE_ANALYTICS_LIST_PROPERTIES` - Get property ID [Prerequisite]
2. `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**:
1. `GOOGLE_ANALYTICS_LIST_PROPERTIES` - Get property ID [Prerequisite]
2. `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 |

Description

How It Works

What Claude Learns

Installation

Stack & Dependencies

Use Cases

Prerequisites

Core Workflows

Common Patterns

Known Pitfalls

Related Skills

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