Turbo-Puffin/measure-mcp-server

Overview

A Model Context Protocol server that connects AI agents to the Measure.events web analytics platform. It allows agents to query analytics data through a standardized MCP interface.

Best for

Best for
Developers who want to give AI agents read access to web analytics data via the Model Context Protocol.

Use cases

• Query web analytics metrics from an AI assistant
• Automate analytics reporting via agent workflows
• Integrate Measure.events data into MCP-compatible tools

Notes

A Model Context Protocol server that connects AI agents to the Measure.events web analytics platform. It allows agents to query analytics data through a standardized MCP interface.

1 stars on GitHub. Last updated 2026-05-24. Licensed MIT.

Use cases

• Query web analytics metrics from an AI assistant
• Automate analytics reporting via agent workflows
• Integrate Measure.events data into MCP-compatible tools

Pros

• Implements the MCP standard for interoperability with AI agents
• Open source and easy to self-host or customize
• Provides direct programmatic access to Measure.events analytics

Cons

• Very early stage with only 1 star and minimal community validation
• Tied to Measure.events as the sole data source
• Likely limited documentation and support due to low adoption

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.