Yandex Metrika MCP

yandex-metrika-mcp

   

Query Yandex Metrika analytics in plain language, right inside Claude. "How many visits this week?", "Top traffic sources for June", "Mobile share today?" — the assistant queries Metrika and answers directly. No dashboards, no SQL, no API keys to manage.

Open-source by aiaiai — we build what we teach.

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Задавай вопросы по Яндекс.Метрике обычным языком прямо в Claude. «Сколько визитов за неделю?», «топ источников за июнь», «доля мобильных?» — ассистент сам сходит в Метрику и ответит. Без дашбордов.

!Спросил про географию аудитории обычным языком — агент сам построил карту из живой Яндекс.Метрики

Works with

Claude.ai  ·  Claude Code  ·  Claude Desktop  ·  Cursor  ·  any MCP-compatible client

Connect in one minute (hosted)

No installation needed — connect to the hosted service.

Claude.ai (Settings → Connectors → Add): `` https://mcp.getaiaiai.ru/yandex-metrika `` Click Connect → sign in with Yandex → allow access.

Claude Code CLI: ``bash claude mcp add --transport http yandex-metrika https://mcp.getaiaiai.ru/yandex-metrika/ claude mcp login yandex-metrika ` A browser window opens → sign in with Yandex → done. On headless/SSH: add --no-browser to mcp login` and paste the redirect URL when prompted.

Claude Desktop / Cursor — add to mcpServers: ``json { "mcpServers": { "yandex-metrika": { "type": "http", "url": "https://mcp.getaiaiai.ru/yandex-metrika/" } } } ``

No app registration, no tokens to manage. Read-only — the service never writes to your Metrika account.

<details> <summary>Подключение на русском</summary>

Claude.ai (Настройки → Коннекторы → Добавить): `` https://mcp.getaiaiai.ru/yandex-metrika `` Нажмите Подключить → войдите через Яндекс → разрешите доступ.

Claude Code CLI: ``bash claude mcp add --transport http yandex-metrika https://mcp.getaiaiai.ru/yandex-metrika/ claude mcp login yandex-metrika `` Откроется браузер → войти через Яндекс → готово.

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Tools

| Tool | Description | |------|-------------| | list_counters | List all Yandex Metrika counters available to the token (id, name, site) | | query | Run a Reporting API query — visits, users, pageviews, bounce rate, traffic sources, devices, geography, UTMs, and more |

query parameters

| Parameter | Default | Description | |-----------|---------|-------------| | counter_id | required | Counter ID from list_counters | | metrics | required | Comma-separated metrics, e.g. ym:s:visits,ym:s:users | | dimensions | — | Group-by fields: ym:s:date, ym:s:lastTrafficSource, ym:s:deviceCategory, … | | date1 / date2 | 7daysAgo / today | Date range: YYYY-MM-DD or relative (today, yesterday, NdaysAgo) | | filters | — | Filter expression, e.g. ym:s:deviceCategory=='mobile' | | sort | — | Sort field; prefix - for descending, e.g. -ym:s:visits | | limit | 100 | Max rows returned |

Common metrics: ym:s:visits, ym:s:users, ym:s:pageviews, ym:s:bounceRate, ym:s:avgVisitDurationSeconds, ym:s:newUsers

Common dimensions: ym:s:date, ym:s:lastTrafficSource, ym:s:startURL, ym:s:deviceCategory, ym:s:regionCountry, ym:s:lastsourceUTMSource

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Self-host with your own token

<details> <summary>For developers — run the engine locally with full control over your data.</summary>

Requires Python 3.10+ and uv.

git clone https://github.com/expremiental/yandex-metrika-mcp.git
cd yandex-metrika-mcp
uv sync

Get a token. Go to oauth.yandex.ru, create an app (platform: "Web services"), enable Yandex Metrika → Read statistics (metrika:read), then get an OAuth token:

export YANDEX_METRIKA_TOKEN="<your-token>"

Connect (Claude Desktop / Cursor — add to mcpServers):

{
  "mcpServers": {
    "yandex-metrika": {
      "command": "uv",
      "args": ["run", "yandex-metrika-mcp"],
      "env": { "YANDEX_METRIKA_TOKEN": "<your-token>" }
    }
  }
}

Run over HTTP: ```bash MCP_TRANSPORT=http PORT=8000 uv run yandex-metrika-mcp

endpoint: http://localhost:8000/mcp

**Embed in your own backend.** The engine accepts an injectable async token resolver — wrap it with your own auth:

from yandex_metrika_mcp import build_server

async def my_token_resolver() -> str: return "<metrika:read token>"

build_server(token_resolver=my_token_resolver).run(transport="stdio") ```

Public API: build_server, YandexMetrikaClient, TokenResolver, env_token_resolver, main.

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License

MIT · made by aiaiai