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Yandex Analytics MCP Server

local only

Yandex Analytics runs on your own machine — the client starts it, so there is no endpoint to ping. 125 installs a week from pypi. Last commit 20 Oct 2026.

Read-only Yandex analytics for AI agents: Metrika, Webmaster, Direct and Wordstat.

Installs per day peak 27 · avg 15 · +24% w/w
a month agotoday
125
Installs / week
pypi · yandex-mcp
4
Stars
0 open issues
20 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 5 d ago · rules 995398eba69f

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

        result = subprocess.run(
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

        result = subprocess.run(

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Yandex Analytics and you get told the day something new turns up.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add yandex-mcp -- uvx yandex-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "yandex-mcp": {
      "command": "uvx",
      "args": [
        "yandex-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.yandex-mcp]
command = "uvx"
args = ["yandex-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "yandex-mcp": {
      "command": "uvx",
      "args": [
        "yandex-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "yandex-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "yandex-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: YANDEX_MCP_DEFAULT_COUNTER (Metrika counter id used when a tool call omits counter_id), YANDEX_MCP_CLIENT_ID (Yandex OAuth application id; alternative to storing it in the OS keystore).

Alternatives to Yandex Analytics

same job, measured the same way
QueryInbox
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Yandex Metrika MCP
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yandex-metrika-mcp
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MCP server for Yandex Metrika — web analytics, counters, goals, traffic (Russia)

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Yandex Webmaster MCP
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MCP server for Yandex Webmaster API — site analytics, indexing, search queries

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Marketscore Direct MCP
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MCP for Yandex Direct: manage ad campaigns & analytics from Claude or ChatGPT

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Rankvisit
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Read-only Google Search Console, Bing Webmaster Tools and privacy-friendly analytics for your AI.

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Yandex Metrica MCP
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MCP server for Yandex Metrica API: list counters, goals and pull web-analytics statistics.

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Ironflowsh
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Read-only Hyperliquid data for AI agents: fills, candles, funding, liquidations, wallet analytics.

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Yandex Analytics — questions

Answers built from our own checks of this server.

Why is there no uptime for Yandex Analytics?
Yandex Analytics runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package yandex-mcp was installed 125 times last week.
How do I connect Yandex Analytics?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls yandex-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Yandex Analytics?
The pypi package yandex-mcp was installed 125 times in the last week. Week over week that is +24%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Yandex Analytics open source?
Yes — it is published under the MIT licence, written in Python and 4 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.