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Engageable Analytics MCP Server

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Engageable Analytics runs on your own machine — the client starts it, so there is no endpoint to ping. 91 installs a week from pypi. Last commit 27 Mar 2026.

Unified analytics MCP server for GA4, Mixpanel, and PostHog.

Installs per day peak 59 · avg 18 · -37% w/w
a month agotoday
91
Installs / week
pypi · engageable
1
Stars
0 open issues
27 Mar 2026
Last commit
from GitHub
—
License
Python

What the code does

We read the source, 4 d ago · rules 995398eba69f

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.

File ships in the package but is absent from the source [пакет] app/__init__.py:1, [пакет] app/auth.py:1, [пакет] app/config.py:1 и ещё 44
этот файл ставится пользователю, но в репозитории его нет

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

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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 analytics -- uvx engageable
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "analytics": {
      "command": "uvx",
      "args": [
        "engageable"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.analytics]
command = "uvx"
args = ["engageable"]
.cursor/mcp.json
{
  "mcpServers": {
    "analytics": {
      "command": "uvx",
      "args": [
        "engageable"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "analytics": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "engageable"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: ANTHROPIC_API_KEY (Anthropic API key (required for the 'ask' tool)), POSTHOG_API_KEY (PostHog personal API key), POSTHOG_PROJECT_ID (PostHog project ID), GA4_CREDENTIALS_JSON (Google Analytics 4 service account credentials (inline JSON)), GA4_PROPERTY_ID (Google Analytics 4 property ID), MIXPANEL_SERVICE_ACCOUNT_USERNAME (Mixpanel service account username), MIXPANEL_SERVICE_ACCOUNT_SECRET (Mixpanel service account secret), MIXPANEL_PROJECT_ID (Mixpanel project ID).

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Engageable Analytics — questions

Answers built from our own checks of this server.

Why is there no uptime for Engageable Analytics?
Engageable 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 engageable was installed 91 times last week.
How do I connect Engageable 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 engageable straight from pypi; nothing to host, nothing to sign up for.
How many people use Engageable Analytics?
The pypi package engageable was installed 91 times in the last week. Week over week that is -37%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Engageable Analytics open source?
We cannot say either way: written in Python and 1 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.