mcpbeat

Engageable Analytics MCP Server

tech.engageable/analytics
local only

Engageable Analytics runs on your own machine — the client starts it, so there is no endpoint to ping. 166 installs a week from pypi. Last commit 27 Mar 2026.

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

Installs per day peak 77 · avg 20 · +116% w/w
a month agotoday
166
Installs / week
pypi · engageable
1
Stars
0 open issues
27 Mar 2026
Last commit
0 releases in 90 days
License
Python

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": {
      "args": [
        "engageable"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.analytics]
command = "uvx"
args = ["engageable"]
.cursor/mcp.json
{
  "mcpServers": {
    "analytics": {
      "args": [
        "engageable"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "analytics": {
      "args": [
        "engageable"
      ],
      "command": "uvx"
    }
  }
}

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 166 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 with the file path 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 166 times in the last week. Week over week that is +116%. 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?
Yes — written in Python and 1 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.