Yandex Metrika MCP

Yandex Metrika MCP

A Model Context Protocol (MCP) server that provides access to Yandex Metrika analytics data through various tools and functions. This server allows AI assistants and applications to retrieve comprehensive analytics data from Yandex Metrika accounts.

Category
Visit Server

README

Yandex Metrika MCP Server (Node.js)

A Model Context Protocol (MCP) server that provides access to Yandex Metrika analytics data through various tools and functions. This server allows AI assistants and applications to retrieve comprehensive analytics data from Yandex Metrika accounts.

Documentation in Russian is located here / Здесь находиться документация на русском языке.

Features

  • Account Information: Get basic account and counter information
  • Traffic Analytics: Retrieve visits, page views, and user engagement metrics
  • Traffic Sources: Analyze traffic sources including organic search, direct traffic, and referrals
  • Content Analytics: Get insights about articles, authors, categories, and topics performance
  • User Demographics: Access user demographics and device analysis
  • Geographic Data: Regional traffic analysis and geographical distribution
  • E-commerce Analytics: Product performance and revenue tracking
  • Conversion Tracking: Goals conversion rates and funnel analysis
  • Search Performance: Organic search queries and search engine data
  • Device Analysis: Mobile vs desktop traffic comparison

Installation

  "mcpServers": {
    "yandex-metrika-mcp": {
      "command": "node",
      "args": [
        "{path-to-repo}/build/index.js"
      ],
      "env": {
        "YANDEX_API_KEY": {your_yandex_api_token_here}
      }
    }
  }

Get authorization token

To obtain an authorization token:

  1. Create an application, filling in the following fields:

    • name — can be arbitrary;
    • service icon — optional;
    • application platforms — select web services;
    • redirect URI — specify https://oauth.yandex.ru/verification_code;
    • data access — specify the set of access rights for your application. Available access rights:
      • metrika:read — obtaining statistics, reading parameters of your own and trusted counters, obtaining a list of counters;
      • metrika:write — creating counters, changing parameters of your own and trusted counters, uploading any data;
      • metrika:expenses — uploading expenses to counters;
      • metrika:user_params — uploading user parameters to counters;
      • metrika:offline_data — uploading offline data to counters (data from CRM, offline conversions, calls).

    Note: metrika:expenses, metrika:user_params, metrika:offline_data access rights are not mandatory if metrika:write access is used.

  2. Click Create application and copy its ClientID (click the icon next to the identifier).

  3. Add the copied ClientID to a link of the form: https://oauth.yandex.ru/authorize?response_type=token&client_id=<application_id>

  4. Follow the link and copy your authorization token from the opened page.

Available Tools

The server provides 25 different tools for accessing Yandex Metrika data:

Account & Basic Analytics

  • get_account_info - Get basic account and counter information from Yandex Metrika
  • get_visits - Retrieve visit statistics with optional date range filtering (defaults to last 7 days)

Traffic Sources Analysis

  • sources_summary - Get comprehensive traffic sources overview and summary report
  • sources_search_phrases - Retrieve search phrases and browser information from traffic sources
  • get_traffic_sources_types - Analyze different types of traffic sources (organic, direct, referral)
  • get_search_engines_data - Get sessions and users data from search engines with optional filters
  • get_new_users_by_source - Identify which traffic sources are most effective in acquiring new users

Content Analytics

  • get_content_analytics_sources - Get sources that drive users to website articles
  • get_content_analytics_categories - Retrieve overall statistics by content category
  • get_content_analytics_authors - Get statistics on article authors performance
  • get_content_analytics_topics - Analyze performance by article topics
  • get_content_analytics_articles - Get detailed report on article views grouped by article

User Behavior & Demographics

  • get_user_demographics - Access user demographics and engagement by device category
  • get_device_analysis - Analyze user behavior by browser and operating system
  • get_mobile_vs_desktop - Compare traffic and engagement metrics between mobile and desktop users
  • get_page_depth_analysis - Get sessions where users viewed more than specified number of pages

Geographic & Regional Data

  • get_regional_data - Get sessions and users data for specific regions/cities
  • get_geographical_organic_traffic - Analyze geographical distribution of organic traffic

Performance & Conversion

  • get_page_performance - Get page performance and bounce rate by URL path
  • get_goals_conversion - Track conversion rates for specified goals
  • get_organic_search_performance - Analyze organic search performance by search engine and query

E-commerce Analytics

  • get_ecommerce_performance - Get e-commerce performance by product category and region

Browser & Technical Data

  • get_browsers_report - Get browsers report without accounting for browser version

Advanced Analytics

  • get_data_by_time - Get data for specific time periods grouped by day, week, month, quarter, or year
  • get_yandex_direct_experiment - Get bounce rate for specific Yandex Direct experiments

Requirements

  • Node.js 18+
  • Yandex Metrika API access token

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured