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Engageable Analytics

Official registry Marketing and sales

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

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package engageable
Claude Code 
claude mcp add engageable-analytics -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'POSTHOG_API_KEY=<your posthog_api_key>' -e 'POSTHOG_PROJECT_ID=<POSTHOG_PROJECT_ID>' -e 'GA4_CREDENTIALS_JSON=<your ga4_credentials_json>' -e 'GA4_PROPERTY_ID=<GA4_PROPERTY_ID>' -e 'MIXPANEL_SERVICE_ACCOUNT_USERNAME=<MIXPANEL_SERVICE_ACCOUNT_USERNAME>' -e 'MIXPANEL_SERVICE_ACCOUNT_SECRET=<your mixpanel_service_account_secret>' -e 'MIXPANEL_PROJECT_ID=<MIXPANEL_PROJECT_ID>' -- uvx engageable==0.2.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "engageable-analytics": {
            "command": "uvx",
            "args": [
                "engageable==0.2.0"
            ],
            "env": {
                "ANTHROPIC_API_KEY": "<your anthropic_api_key>",
                "POSTHOG_API_KEY": "<your posthog_api_key>",
                "POSTHOG_PROJECT_ID": "<POSTHOG_PROJECT_ID>",
                "GA4_CREDENTIALS_JSON": "<your ga4_credentials_json>",
                "GA4_PROPERTY_ID": "<GA4_PROPERTY_ID>",
                "MIXPANEL_SERVICE_ACCOUNT_USERNAME": "<MIXPANEL_SERVICE_ACCOUNT_USERNAME>",
                "MIXPANEL_SERVICE_ACCOUNT_SECRET": "<your mixpanel_service_account_secret>",
                "MIXPANEL_PROJECT_ID": "<MIXPANEL_PROJECT_ID>"
            }
        }
    }
}

Environment variables

  • ANTHROPIC_API_KEY secret Anthropic API key (required for the 'ask' tool)
  • POSTHOG_API_KEY secret PostHog personal API key
  • POSTHOG_PROJECT_ID PostHog project ID
  • GA4_CREDENTIALS_JSON secret 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 secret Mixpanel service account secret
  • MIXPANEL_PROJECT_ID Mixpanel project ID

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Engageable
  2. Quickstart
  3. Claude Desktop
  4. Docker
  5. Tools
  6. Supported Data Sources
  7. How It Works
  8. Architecture
  9. License

Engageable

The open source analytics engine for AI agents.

One MCP server that connects to GA4, Mixpanel, PostHog, and more. 9 tools that replace per-platform integrations. Bring your own Anthropic key.

Quickstart

pip install engageable
export ANTHROPIC_API_KEY=sk-ant-...
export POSTHOG_API_KEY=phc_...
export POSTHOG_PROJECT_ID=12345
engageable-mcp

That's it. The MCP server is running on stdio. Connect it to Claude Desktop, Cursor, or any MCP client.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "engageable": {
      "command": "engageable-mcp",
      "args": []
    }
  }
}

Restart Claude Desktop. You'll see 9 analytics tools available.

Docker

ANTHROPIC_API_KEY=sk-ant-... docker compose -f docker-compose.mcp.yml up

Connects via SSE at http://localhost:8080/sse.

Tools

ToolWhat it does
get_sourcesList connected data sources
configure_sourceConnect a new data source (saves to ~/.engageable/credentials.json)
analyze_trendsTime-series analysis with trend detection, change points, anomalies
compare_segmentsA/B tests, before/after, segment breakdown with statistical significance
detect_anomaliesFind spikes, drops, and unusual patterns
analyze_retentionCohort retention curves (D1/D7/D30)
analyze_funnelMulti-step conversion funnel with drop-off rates
analyze_cohortDefine and compare user cohorts
askNatural language analytics questions (routes to other tools via LLM)

Supported Data Sources

SourceAuthWhat you need
PostHogAPI keyPOSTHOG_API_KEY + POSTHOG_PROJECT_ID
MixpanelService accountMIXPANEL_SERVICE_ACCOUNT_USERNAME + MIXPANEL_SERVICE_ACCOUNT_SECRET + MIXPANEL_PROJECT_ID
Google Analytics 4Service accountGA4_CREDENTIALS_JSON (path or inline) + GA4_PROPERTY_ID

Set these as environment variables, or use the configure_source tool to save them interactively to ~/.engageable/credentials.json. See credentials.example.json for the file format.

How It Works

Engageable exposes analytics tools via the Model Context Protocol (MCP). Any MCP-compatible client (Claude, Cursor, VS Code, custom agents) can discover and call these tools.

Each tool is a self-contained pipeline: parse the request, fetch data from the right connector, run analysis, return results. The ask tool adds an LLM routing layer for natural language questions.

Responses use CSV for tabular data (50% fewer tokens than JSON) with a 1000-cell budget to keep context windows manageable.

Architecture

MCP Client (Claude, Cursor, etc.)
    │
    ▼
┌─────────────────────────────────────┐
│  MCP Server (stdio or SSE)          │
│  - Dynamic tool registration        │
│  - Credential injection             │
│  - CSV response formatting          │
├─────────────────────────────────────┤
│  Composite Skills (agent-facing)    │
│  analyze_trends, compare_segments,  │
│  detect_anomalies, analyze_funnel,  │
│  analyze_retention, analyze_cohort, │
│  ask, get_sources, configure_source │
├─────────────────────────────────────┤
│  Connector Skills (internal)        │  Analysis Skills (internal)
│  ga4_query, posthog_query,          │  trend_detection, significance,
│  mixpanel_query, + metadata/probe   │  cohort_retention, forecasting,
│                                     │  bayesian_ab, correlation, ...
└─────────────────────────────────────┘

License

MIT

Frequently asked questions

What is Engageable Analytics?

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

How do I install Engageable Analytics?

It runs on your machine. In Claude Code: claude mcp add engageable-analytics -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'POSTHOG_API_KEY=<your posthog_api_key>' -e 'POSTHOG_PROJECT_ID=<POSTHOG_PROJECT_ID>' -e 'GA4_CREDENTIALS_JSON=<your ga4_credentials_json>' -e 'GA4_PROPERTY_ID=<GA4_PROPERTY_ID>' -e 'MIXPANEL_SERVICE_ACCOUNT_USERNAME=<MIXPANEL_SERVICE_ACCOUNT_USERNAME>' -e 'MIXPANEL_SERVICE_ACCOUNT_SECRET=<your mixpanel_service_account_secret>' -e 'MIXPANEL_PROJECT_ID=<MIXPANEL_PROJECT_ID>' -- uvx engageable==0.2.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Engageable Analytics need an API key?

Yes. It expects ANTHROPIC_API_KEY, POSTHOG_API_KEY, GA4_CREDENTIALS_JSON, MIXPANEL_SERVICE_ACCOUNT_SECRET, which you set in its configuration.

Is Engageable Analytics open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Engageable Analytics?

It is published by engageable-tech. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.