Yandex Metrika FAQs

Question 1

How do I set up Yandex Metrika with my AI assistant?

Accepted Answer

Setup involves obtaining a Yandex OAuth token with `metrika:read` access. Then, configure your AI assistant's MCP server (e.g., Claude Desktop, Cursor) by adding an environment variable for your `YANDEX_API_KEY`.

Question 2

What types of website data can I analyze using this integration?

Accepted Answer

You can access a wide range of data including traffic sources, content performance, user demographics, geographic insights, conversion rates, and e-commerce transactions. It covers 7 domains of analytics, from basic visits to advanced drill-down reports.

Question 3

What is Yandex Metrika for AI assistants?

Accepted Answer

This tool is a Model Context Protocol (MCP) server that seamlessly integrates Yandex Metrika analytics directly into your AI assistant. It provides conversational access to 31 distinct data tools, enabling comprehensive website insights through natural language queries.

Question 4

What are some common applications or queries I can make with this tool?

Accepted Answer

You can ask your AI assistant to perform tasks like listing Metrika counters, analyzing top traffic sources, comparing mobile vs. desktop users, showing conversion rates for specific goals, drilling down into regional data, or monitoring e-commerce performance, all through simple conversational commands.

Question 5

Can I control the amount of data the AI assistant receives?

Accepted Answer

Yes, many of the analytics tools support a `limit` parameter, allowing you to cap the number of rows returned. This feature is crucial for managing the AI assistant's context window and ensuring responses are concise and relevant.

Yandex Metrika

Yandex Metrika

Key Features

Use Cases

Key Features

Use Cases