Microsoft Clarity announced their new Model Context Protocol (MCP) server which enables developers, AI users and SEOs to query Clarity Analytics data with natural language prompts via AI.
The announcement listed the following ways users can access and interact with the data using MCP:
- Query analytics data with natural prompts
- Filter by dimensions like Browser, OS, Country/Region, or Device
- Retrieve key metrics: Scroll Depth, Engagement Time, Total Traffic, etc.
- Integrates with Claude for Desktop for AI-powered querying
MCP Server is a software package that needs to be installed and run on a server or a local machine where Node.js 16+ is supported. It’s a Node.js-based server that acts as a bridge between AI tools (like Claude) and Clarity analytics data.
This is a new way to interact with data using natural language, where a user tells the AI client what analytics metric they want to see and for what period of time and the AI interface pulls the data from Microsoft Clarity and displays it.
Micrsoft’s announcement says that this is the beginning of what is possible, sharing that they are encouraging feedback from users about features and improvements they’d like to see.
The current road map of features listed for the future:
“Higher API Limits: Increased daily limits for the Clarity data export API
Predictive Heatmaps: Predict engagement heatmaps by providing an image or a url
Deeper AI integration: Heatmap insights and more given the context
Multi-project support: for enterprise analytics teams
Ecosystem – Support more AI Agents and collaborate with more MCP servers “
Read Microsoft’s announcement:
Introducing the Microsoft Clarity MCP Server: A Smarter Way to Fetch Analytics with AI
Featured Image by Shutterstock/Net Vector
Microsoft Clarity announced their new Model Context Protocol (MCP) server which enables developers, AI users and SEOs to query Clarity Analytics data with natural language prompts via AI.
The announcement listed the following ways users can access and interact with the data using MCP:
- Query analytics data with natural prompts
- Filter by dimensions like Browser, OS, Country/Region, or Device
- Retrieve key metrics: Scroll Depth, Engagement Time, Total Traffic, etc.
- Integrates with Claude for Desktop for AI-powered querying
MCP Server is a software package that needs to be installed and run on a server or a local machine where Node.js 16+ is supported. It’s a Node.js-based server that acts as a bridge between AI tools (like Claude) and Clarity analytics data.
This is a new way to interact with data using natural language, where a user tells the AI client what analytics metric they want to see and for what period of time and the AI interface pulls the data from Microsoft Clarity and displays it.
Micrsoft’s announcement says that this is the beginning of what is possible, sharing that they are encouraging feedback from users about features and improvements they’d like to see.
The current road map of features listed for the future:
“Higher API Limits: Increased daily limits for the Clarity data export API
Predictive Heatmaps: Predict engagement heatmaps by providing an image or a url
Deeper AI integration: Heatmap insights and more given the context
Multi-project support: for enterprise analytics teams
Ecosystem – Support more AI Agents and collaborate with more MCP servers “
Read Microsoft’s announcement:
Introducing the Microsoft Clarity MCP Server: A Smarter Way to Fetch Analytics with AI
Featured Image by Shutterstock/Net Vector
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It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using ‘Content here, content here’, making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for ‘lorem ipsum’ will uncover many web sites still in their infancy.
The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using ‘Content here, content here’, making
The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using ‘Content here, content here’, making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for ‘lorem ipsum’ will uncover many web sites still in their infancy.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution
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