Yandex Metrika Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Yandex Metrika Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
Спросил про географию аудитории обычным языком — агент сам построил карту из живой Яндекс.Метрики
Claude.ai · Claude Code · Claude Desktop · Cursor · any MCP-compatible client
No installation needed — connect to the hosted service.
Claude.ai (Settings → Connectors → Add):
https://mcp.getaiaiai.ru/yandex-metrikaClick 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-metrikaA 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.
<details> <summary>Подключение на русском</summary>
Claude.ai (Настройки → Коннекторы → Добавить):
https://mcp.getaiaiai.ru/yandex-metrikaНажмите 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-metrikaОткроется браузер → войти через Яндекс → готово.
</details>
| 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
<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 syncGet 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/mcpEmbed 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.
</details>
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.