What is Connect to Dataverse with Model Context Protocol (MCP) for seamless integration with LLM applications.?
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Microsoft Dataverse can act as an MCP server, providing intelligent access to tables and records to various MCP clients like Copilot Studio agents, VS Code GitHub Copilot, Claude desktop, and many others. This integration standardizes and streamlines the interaction between AI models and Dataverse data, making it more efficient and effective for developers to apply Dataverse's rich data capabilities within their AI-driven applications.
Documentation
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:
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: