Microsoft Clarity MCP Server
Enables AI to surface UX insights from session recordings and heatmap data. Clarity is free, reducing client adoption friction.
Official Microsoft MCP server for Clarity user behavior analytics. Exposes traffic metrics, behavior data, and session recordings with filtering. Three focused tools, minimal attack surface.
- Find out where users drop off on your website checkout flow
- See which pages get the most visitor engagement this week
- Identify confusing page elements by reviewing user behavior data
Enables AI to surface UX insights from session recordings and heatmap data. Clarity is free, reducing client adoption friction. Official Microsoft with clean narrow scope.
CX and digital experience consulting engagements where clients want AI to analyze user behavior patterns and surface UX improvement opportunities.
https://github.com/microsoft/clarity-mcp-server
By Microsoft
How to Get It
claude mcp add clarity -- npx -y @microsoft/clarity-mcp-server --clarity_api_token=YOUR_TOKEN
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me find out where users drop off on my website checkout flow
Trust Signals Auto-scanned
Data & Access
Community Pulse Growing
Discussed on Reddit
- Clarity Data Export MCP Server – A Model Context Protocol server that lets you f — Reddit · 3 pts
- Refine Prompt – An MCP server that uses Claude 3.5 Sonnet to transform ordinary — Reddit · 3 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 90 GitHub stars; 8 contributors; last commit 132d ago; license MIT.
Things to check
- Requires active Clarity account and API credentials; limited to Clarity's data retention window and supported metrics only. No real-time alerting—analysis is historical.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 90 GitHub stars; 8 contributors; last commit 132d ago; license MIT.