Microsoft Clarity Automation
Scannednpx machina-cli add skill ComposioHQ/awesome-claude-skills/microsoft-clarity-automation --openclawMicrosoft Clarity Automation
Export Microsoft Clarity user behavior analytics directly from Claude Code. Pull heatmap data, session metrics, and engagement insights segmented by multiple dimensions without leaving your terminal.
Toolkit docs: composio.dev/toolkits/microsoft_clarity
Setup
- Add the Composio MCP server to your configuration:
https://rube.app/mcp - Connect your Microsoft Clarity account when prompted. The agent will provide an authentication link.
- Ensure your Clarity project has sufficient data collection enabled for the dimensions you want to analyze.
Core Workflows
1. Export Recent Analytics Data
Export Clarity analytics data for the last 1-3 days, segmented by up to three dimensions simultaneously.
Tool: MICROSOFT_CLARITY_DATA_EXPORT
Key parameters:
numOfDays(required) -- number of days to export:1(last 24h),2(last 48h), or3(last 72h)dimension1-- first breakdown dimensiondimension2-- second breakdown dimension (optional)dimension3-- third breakdown dimension (optional)
Available dimensions:
Browser-- Chrome, Firefox, Safari, Edge, etc.Device-- Desktop, Mobile, TabletCountry/Region-- geographic location of usersOS-- Windows, macOS, iOS, Android, etc.Source-- traffic source (e.g., google, direct, referral)Medium-- traffic medium (organic, cpc, referral, etc.)Campaign-- marketing campaign nameChannel-- traffic channel groupingURL-- specific page URLs
Example prompt: "Export Clarity data for the last 24 hours broken down by Device and Country/Region"
2. Device Performance Analysis
Analyze how user behavior differs across device types to optimize responsive design.
Tool: MICROSOFT_CLARITY_DATA_EXPORT
Configuration: numOfDays: 3, dimension1: "Device", dimension2: "Browser"
Example prompt: "Show me Clarity metrics for the last 3 days by Device and Browser"
3. Traffic Source Breakdown
Understand which traffic sources drive the most engaged users.
Tool: MICROSOFT_CLARITY_DATA_EXPORT
Configuration: numOfDays: 2, dimension1: "Source", dimension2: "Medium"
Example prompt: "Export Clarity data for the last 48 hours broken down by Source and Medium"
4. Geographic User Behavior
Analyze user engagement patterns across different countries and regions.
Tool: MICROSOFT_CLARITY_DATA_EXPORT
Configuration: numOfDays: 3, dimension1: "Country/Region", dimension2: "Device"
Example prompt: "Get Clarity data for the last 72 hours segmented by Country/Region and Device type"
5. Page-Level Performance
Examine which specific URLs have the highest or lowest engagement metrics.
Tool: MICROSOFT_CLARITY_DATA_EXPORT
Configuration: numOfDays: 1, dimension1: "URL", dimension2: "Device"
Example prompt: "Export yesterday's Clarity data broken down by URL and Device"
6. Campaign Attribution Analysis
Evaluate marketing campaign effectiveness through user behavior metrics.
Tool: MICROSOFT_CLARITY_DATA_EXPORT
Configuration: numOfDays: 3, dimension1: "Campaign", dimension2: "Channel", dimension3: "Device"
Example prompt: "Show Clarity engagement data for the last 3 days by Campaign, Channel, and Device"
Known Pitfalls
- Limited time window: Data export is limited to the last 1, 2, or 3 days only. The
numOfDaysparameter only accepts values of 1, 2, or 3. For longer historical analysis, you need to run exports periodically and aggregate them externally. - Dimension name exact match: Dimension values must match exactly as listed (e.g.,
Country/Regionnotcountryorregion). Case and slashes matter. - Maximum three dimensions: You can segment by up to three dimensions per export. For more complex analysis, run multiple exports with different dimension combinations.
- Data availability lag: Clarity data may have a short processing delay. Very recent sessions (last few minutes) may not appear in exports.
- Single tool limitation: The Clarity integration currently offers only the data export tool. For heatmap visualizations and session recordings, use the Clarity web dashboard directly.
- Response size: Exports with high-cardinality dimensions like
URLcombined with other dimensions can produce large response payloads. Consider narrowing your time window or using fewer dimensions.
Quick Reference
| Tool Slug | Description |
|---|---|
MICROSOFT_CLARITY_DATA_EXPORT | Export analytics data with up to 3 dimensional breakdowns |
Available Dimensions:
| Dimension | Description |
|---|---|
Browser | Web browser (Chrome, Firefox, Safari, etc.) |
Device | Device type (Desktop, Mobile, Tablet) |
Country/Region | Geographic location |
OS | Operating system |
Source | Traffic source |
Medium | Traffic medium |
Campaign | Marketing campaign |
Channel | Traffic channel grouping |
URL | Specific page URL |
Powered by Composio
Source
git clone https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/microsoft-clarity-automation/SKILL.mdView on GitHub Overview
Microsoft Clarity Automation lets you pull heatmaps, session metrics, and engagement insights directly from Claude Code. It leverages the Composio MCP and MICROSOFT_CLARITY_DATA_EXPORT to segment data by dimensions like Browser, Device, Country/Region, Source, and more without leaving your terminal.
How This Skill Works
Connect your Clarity account via the MCP integration. Then run the data export tool with desired dimensions and days (1-3). The tool returns structured analytics data that can be inspected or exported for further analysis.
When to Use It
- Export Clarity data for the last 1-3 days broken down by up to three dimensions
- Analyze how device and browser differences impact user behavior for responsive design
- Break down traffic sources by Source and Medium to identify engaged users
- Compare geographic user behavior by Country/Region and Device
- Examine page-level engagement by URL and Device to spot performance gaps
Quick Start
- Step 1: Add the Composio MCP server to your configuration: https://rube.app/mcp
- Step 2: Connect your Microsoft Clarity account when prompted in the agent
- Step 3: Run MICROSOFT_CLARITY_DATA_EXPORT with desired numOfDays (1-3) and up to three dimensions
Best Practices
- Choose up to three dimensions per export to maintain clarity and avoid noise
- Use numOfDays values 1, 2, or 3 as documented for short windows; for longer history, export repeatedly and aggregate externally
- Ensure the Clarity project has data collection enabled for the desired dimensions
- Test with simple dimension pairs before adding a third dimension to keep outputs manageable
- Document prompts you use for reproducibility and auditability
Example Use Cases
- Export Clarity data for the last 24 hours broken down by Device and Country/Region
- Show me Clarity metrics for the last 3 days by Device and Browser
- Export Clarity data for the last 48 hours broken down by Source and Medium
- Get Clarity data for the last 72 hours segmented by Country/Region and Device type
- Export yesterday's Clarity data broken down by URL and Device