# yandex-metrica-mcp

> yandex-metrica-mcp — boxlab-ltd-yandex-metrica-mcp. Use this tool when you need to access web analytics data from Yandex Metrica using plain language queries from AI agents like Claude and Cursor. It solves the problem of complex data retrieval by providing a simple, read-only interface with secretless one-command login. This tool is ideal for use cases where you want to easily query and analyze web analytics data without requiring extensive technical expertise.

Canonical page: https://skillsregistry.net/skills/boxlab-ltd-yandex-metrica-mcp  
JSON: https://api.skillsregistry.net/v1/skills/boxlab-ltd-yandex-metrica-mcp

## Description

MCP server for Yandex Metrica — query your web analytics in plain language from Claude, Cursor, and other AI agents. Secretless one-command login (PKCE), read-only, TypeScript.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/khp0pdfbno)
- **Repository:** <https://github.com/BoxLab-Ltd/yandex-metrica-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "boxlab-ltd-yandex-metrica-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/boxlab-ltd-yandex-metrica-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/boxlab-ltd-yandex-metrica-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt