Engageable Analytics

Name: Engageable Analytics
Author: engageable-tech

by engageable-techcommunityv0.2.0

Engageable is an open source analytics engine for AI agents that connects to various data sources like GA4, Mixpanel, and PostHog, providing a unified interface for analytics tools.

From the registry: Unified analytics MCP server for GA4, Mixpanel, and PostHog.

GitHub Repository

Install & configure

Prerequisites

required
Install engageable
Install from PyPI
```
$ pip install engageable
```
required
Anthropic API key
Required for the natural-language `ask` tool (LLM routing)
https://console.anthropic.com/

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `analytics-engageabletech` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install engageable** — Install from PyPI Run: `pip install engageable`
- **Anthropic API key** — Required for the natural-language `ask` tool (LLM routing) (https://console.anthropic.com/)

Canonical MCP server config (stdio transport):
- command: `engageable-mcp`
- args: []
- required environment variables:
  - `ANTHROPIC_API_KEY`: Anthropic API key for LLM routing (example: `<your-anthropic-api-key>`)
- optional environment variables:
  - `POSTHOG_API_KEY`: PostHog API key (example: `<your-posthog-api-key>`)
  - `POSTHOG_PROJECT_ID`: PostHog project ID (example: `<your-posthog-project-id>`)
  - `MIXPANEL_SERVICE_ACCOUNT_USERNAME`: Mixpanel service account username (example: `<your-mixpanel-username>`)
  - `MIXPANEL_SERVICE_ACCOUNT_SECRET`: Mixpanel service account secret (example: `<your-mixpanel-secret>`)
  - `MIXPANEL_PROJECT_ID`: Mixpanel project ID (example: `<your-mixpanel-project-id>`)
  - `GA4_CREDENTIALS_JSON`: GA4 service account JSON (path or inline) (example: `<path-to-ga4-credentials.json>`)
  - `GA4_PROPERTY_ID`: GA4 property ID (example: `<your-ga4-property-id>`)

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Tools (9)

get_sources

List connected data sources

configure_source

Connect a new data source (saves to ~/.engageable/credentials.json)

analyze_trends

Time-series analysis with trend detection, change points, anomalies

compare_segments

A/B tests, before/after, segment breakdown with statistical significance

detect_anomalies

Find spikes, drops, and unusual patterns

analyze_retention

Cohort retention curves (D1/D7/D30)

analyze_funnel

Multi-step conversion funnel with drop-off rates

analyze_cohort

Define and compare user cohorts

ask

Natural language analytics questions (routes to other tools via LLM)

Environment variables

ANTHROPIC_API_KEYrequiredAPI key for Anthropic

POSTHOG_API_KEYrequiredAPI key for PostHog

POSTHOG_PROJECT_IDrequiredProject ID for PostHog

Packages

engageable

pypiv0.2.0transport: stdio

Details

Language: Python
Released: Mar 26, 2026
Last commit: Mar 26, 2026
Registry name: tech.engageable/analytics

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