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clarity-mcp-server

MCP.Pizza Chef: microsoft

The clarity-mcp-server is a Model Context Protocol server that connects to the Microsoft Clarity data export API, enabling MCP clients like Claude for Desktop to fetch detailed web analytics data. It supports filtering by multiple dimensions such as browser, device, and region, and retrieves key metrics including scroll depth, engagement time, and traffic. This server simplifies integrating Clarity analytics into AI workflows, providing real-time, structured access to user behavior data for enhanced analysis and decision-making.

Use This MCP server To

Query Microsoft Clarity analytics data via MCP clients Filter analytics by browser, device, country, or OS Retrieve metrics like scroll depth and engagement time Integrate Clarity data into AI-driven dashboards Combine Clarity data with other MCP data sources Automate report generation from Clarity analytics Enable real-time user behavior analysis in apps

README

Microsoft Clarity Data Export MCP Server

This is a Model Context Protocol (MCP) server for the Microsoft Clarity data export API. It allows you to fetch analytics data from Clarity using Claude for Desktop or other MCP-compatible clients.

Features

  • Query Microsoft Clarity analytics data through a simple interface
  • Filter by up to 3 dimensions (Browser, Device, Country/Region, OS, etc.)
  • Retrieve various metrics (Scroll Depth, Engagement Time, Traffic, etc.)
  • Seamlessly integrates with Claude for Desktop and other MCP clients

Setup and Installation

Prerequisites

  • Node.js v16 or higher
  • A Microsoft Clarity account and API token
  • Any MCP-compatible client (Claude for Desktop, etc.)

Installation

Option 1: Install via npm (recommended)

You can install and run this package directly using npm:

# Install globally
npm install -g @microsoft/clarity-mcp-server

# Run the server
clarity-mcp-server
Option 2: Run with npx without installing

You can run the server directly using npx without installing:

npx @microsoft/clarity-mcp-server

With either option, you can provide your Clarity API token using the --clarity_api_token parameter:

npx @microsoft/clarity-mcp-server --clarity_api_token=your-token-here
Option 3: Manual Installation
  1. Clone or download this repository
  2. Install dependencies:
    npm install
    
  3. Build the TypeScript code:
    npm run build
    
  4. Run the server:
    npm start
    

Configuration

You can provide the Clarity data export API token in two ways:

  1. Command Line Arguments:

    npx @microsoft/clarity-mcp-server --clarity_api_token=your-token
  2. Tool Parameters:

    • Provide token as a parameter when calling the get-clarity-data tool

Configuring MCP Clients

Generic MCP Client Configuration

MCP clients typically require configuration to connect to the server. Here's a general example of how to configure an MCP client:

{
  "mcpServers": {
    "@microsoft/clarity-mcp-server": {
      "command": "npx",
      "args": [
        "@microsoft/clarity-mcp-server",
        "--clarity_api_token=your-api-token-here"
      ]
    }
  }
}

The specifics of where and how to add this configuration will depend on your specific MCP client.

Claude for Desktop Configuration

To configure Claude for Desktop to use this server:

  1. Open your Claude for Desktop configuration file:

    • Windows: %AppData%\Claude\claude_desktop_config.json
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  2. Add the configuration shown in the generic example above

  3. Save the configuration file and restart Claude for Desktop

Using the Server

When using an MCP client with this server configured, you can ask it to fetch Clarity data. For example:

"Can you fetch my Clarity data for the last day, filtered by Browser and showing Traffic metrics?"

The MCP client will then prompt you to run the get-clarity-data tool, which requires:

  • numOfDays: Number of days to retrieve (1-3)
  • dimensions: Array of dimensions to filter by (optional)
  • metrics: Array of metrics to retrieve (optional)

If you haven't configured your credentials via command-line arguments, you'll also need to provide:

  • token: Your Clarity API token

API Token

Getting Your API Token

To generate an API token:

  1. Go to your Clarity project
  2. Select Settings -> Data Export -> Generate new API token
  3. Provide a descriptive name for the token
  4. Save the generated token securely

Limitations

  • Maximum of 10 API requests are allowed per project per day
  • Data retrieval is confined to the previous 1 to 3 days
  • Maximum of three dimensions can be passed in a single request
  • The response is limited to 1,000 rows and can't be paginated

License

MIT

clarity-mcp-server FAQ

How do I install the clarity-mcp-server?
Install via npm with 'npm install -g @microsoft/clarity-mcp-server' or run directly using npx.
What are the prerequisites for running clarity-mcp-server?
You need Node.js v16+, a Microsoft Clarity account, and an API token.
Can clarity-mcp-server be used with MCP clients other than Claude for Desktop?
Yes, it supports any MCP-compatible client including Claude and others like Gemini.
How does clarity-mcp-server filter analytics data?
It allows filtering by up to three dimensions such as browser, device, country/region, and OS.
What metrics can I retrieve using clarity-mcp-server?
Metrics include scroll depth, engagement time, traffic, and other key user interaction data.
Is the clarity-mcp-server secure when handling API tokens?
Yes, it follows best practices for secure token management and scoped access.
Can I integrate clarity-mcp-server data with other MCP servers?
Yes, it can be combined with other MCP data sources for enriched context.
Does clarity-mcp-server support real-time data fetching?
It provides near real-time access depending on Microsoft Clarity API limits and refresh rates.