Microsoft Readability introduced their new Mannequin Context Protocol (MCP) server which allows builders, AI customers and SEOs to question Readability Analytics knowledge with pure language prompts by way of AI.
The announcement listed the next methods customers can entry and work together with the information utilizing MCP:
- Question analytics knowledge with pure prompts
- Filter by dimensions like Browser, OS, Nation/Area, or System
- Retrieve key metrics: Scroll Depth, Engagement Time, Complete Visitors, and so forth.
- Integrates with Claude for Desktop for AI-powered querying
MCP Server is a software program package deal that must be put in and run on a server or an area machine the place Node.js 16+ is supported. It’s a Node.js-based server that acts as a bridge between AI instruments (like Claude) and Readability analytics knowledge.
This can be a new strategy to work together with knowledge utilizing pure language, the place a consumer tells the AI shopper what analytics metric they need to see and for what time period and the AI interface pulls the information from Microsoft Readability and shows it.
Micrsoft’s announcement says that that is the start of what’s doable, sharing that they’re encouraging suggestions from customers about options and enhancements they’d wish to see.
The present street map of options listed for the longer term:
“Larger API Limits: Elevated each day limits for the Readability knowledge export API
Predictive Heatmaps: Predict engagement heatmaps by offering a picture or a url
Deeper AI integration: Heatmap insights and extra given the context
Multi-project help: for enterprise analytics groups
Ecosystem – Assist extra AI Brokers and collaborate with extra MCP servers “
Learn Microsoft’s announcement:
Introducing the Microsoft Readability MCP Server: A Smarter Method to Fetch Analytics with AI
Featured Picture by Shutterstock/Internet Vector
