# clarity-mcp

> clarity-mcp — raffaele86-clarity-mcp. Use this tool when you need to retrieve and analyze Microsoft Clarity data, such as traffic and user behavior insights, to inform website optimization decisions. It solves problems related to understanding user engagement and identifying areas for improvement, providing outputs like metrics on dead clicks, rage clicks, and script errors. It takes project IDs and API credentials as inputs, making it suitable for use cases where multiple projects require daily quota management and shared caching.

Canonical page: https://skillsregistry.net/skills/raffaele86-clarity-mcp  
JSON: https://api.skillsregistry.net/v1/skills/raffaele86-clarity-mcp

## Description

MCP server for Microsoft Clarity Data Export API, providing tools to retrieve traffic, popular pages, engagement metrics, and user behavior insights such as dead clicks, rage clicks, and script errors. Supports multiple projects with daily quota management and shared caching.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/phle8b1cth)
- **Repository:** <https://github.com/Raffaele86/clarity-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "raffaele86-clarity-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raffaele86-clarity-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raffaele86-clarity-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
