Is tech.engageable/analytics safe to use?

tech.engageable/analytics has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install tech.engageable/analytics?

tech.engageable/analytics supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with tech.engageable/analytics?

tech.engageable/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is tech.engageable/analytics actively maintained?

tech.engageable/analytics is recently maintained — last commit was 64 days ago. It has 1 GitHub stars.

tech.engageable/analytics

engageable

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

1 0 tools GitHub PyPI

No known CVEs

No license

Maintained

Last commit 64d ago

Works with most clients

Transport: stdio, sse

0 tools

Grade F

Edit this pageView history

Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/tech-engageable-analytics)](https://mcppedia.org/s/tech-engageable-analytics)

Read me

What tech.engageable/analytics does

The open source analytics engine for AI agents.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'engageable' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

49/100across 5 weighted dimensions

How we score →

0255075100

−51

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked engageable against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is tech.engageable/analytics safe to use?: tech.engageable/analytics has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install tech.engageable/analytics?: tech.engageable/analytics supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with tech.engageable/analytics?: tech.engageable/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is tech.engageable/analytics actively maintained?: tech.engageable/analytics is recently maintained — last commit was 64 days ago. It has 1 GitHub stars.

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Community

Discussion

Start a conversation

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

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Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/tech-engageable-analytics)](https://mcppedia.org/s/tech-engageable-analytics)

Read me

What tech.engageable/analytics does

The open source analytics engine for AI agents.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'engageable' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

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

Tool	What it does
`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)

Supported Data Sources

Source	Auth	What you need
PostHog	API key	`POSTHOG_API_KEY` + `POSTHOG_PROJECT_ID`
Mixpanel	Service account	`MIXPANEL_SERVICE_ACCOUNT_USERNAME` + `MIXPANEL_SERVICE_ACCOUNT_SECRET` + `MIXPANEL_PROJECT_ID`
Google Analytics 4	Service account	`GA4_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

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

49/100across 5 weighted dimensions

How we score →

0255075100

−51

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked engageable against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is tech.engageable/analytics safe to use?: tech.engageable/analytics has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install tech.engageable/analytics?: tech.engageable/analytics supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with tech.engageable/analytics?: tech.engageable/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is tech.engageable/analytics actively maintained?: tech.engageable/analytics is recently maintained — last commit was 64 days ago. It has 1 GitHub stars.