Yandex Metrika
FreeNot checkedQuery Yandex Metrika analytics data including visits, traffic sources, geographic distribution, and device breakdowns.
About
Query Yandex Metrika analytics data including visits, traffic sources, geographic distribution, and device breakdowns.
README
License: MIT Python 3.10+ FastMCP 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.
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.

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:
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:
{
"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.
Подключение на русском
Claude.ai (Настройки → Коннекторы → Добавить):
https://mcp.getaiaiai.ru/yandex-metrika
Нажмите Подключить → войдите через Яндекс → разрешите доступ.
Claude Code CLI:
claude mcp add --transport http yandex-metrika https://mcp.getaiaiai.ru/yandex-metrika/
claude mcp login yandex-metrika
Откроется браузер → войти через Яндекс → готово.
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
Self-host with your own token
For developers — run the engine locally with full control over your data.
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:
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.
License
Installing Yandex Metrika
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/expremiental/yandex-metrika-mcpFAQ
Is Yandex Metrika MCP free?
Yes, Yandex Metrika MCP is free — one-click install via Unyly at no cost.
Does Yandex Metrika need an API key?
No, Yandex Metrika runs without API keys or environment variables.
Is Yandex Metrika hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Yandex Metrika in Claude Desktop, Claude Code or Cursor?
Open Yandex Metrika on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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