Is ai.mcpanalytics/analytics safe to use?

ai.mcpanalytics/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 ai.mcpanalytics/analytics?

ai.mcpanalytics/analytics can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with ai.mcpanalytics/analytics?

ai.mcpanalytics/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is ai.mcpanalytics/analytics actively maintained?

ai.mcpanalytics/analytics is actively maintained — last commit was 10 days ago. It has 6 GitHub stars.

ai.mcpanalytics/analytics

Analytics for business data: upload CSV or connect GA4/GSC, run ML/stats, get HTML reports.

6 0 tools GitHub

No known CVEs

No license

Actively maintained

Last commit 10d ago

Works with most clients

Transport: stdio

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 · Node 18+

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

{
  "mcpServers": {
    "ai-mcpanalytics-analytics": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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/ai-mcpanalytics-analytics)](https://mcppedia.org/s/ai-mcpanalytics-analytics)

Read me

What ai.mcpanalytics/analytics does

MCP server for data analytics — Shopify, Stripe, WooCommerce, eBay, CSV files, and more. Run statistical analysis, forecasting, and machine learning directly in Claude or Cursor. Ask a question, upload your data, get an interactive report.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

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

Score breakdown

34/100across 5 weighted dimensions

How we score →

0255075100

−66

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

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 ai.mcpanalytics/analytics safe to use?: ai.mcpanalytics/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 ai.mcpanalytics/analytics?: ai.mcpanalytics/analytics can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with ai.mcpanalytics/analytics?: ai.mcpanalytics/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is ai.mcpanalytics/analytics actively maintained?: ai.mcpanalytics/analytics is actively maintained — last commit was 10 days ago. It has 6 GitHub stars.

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MCP Security Weekly

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

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

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 · Node 18+

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

{
  "mcpServers": {
    "ai-mcpanalytics-analytics": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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/ai-mcpanalytics-analytics)](https://mcppedia.org/s/ai-mcpanalytics-analytics)

Read me

What ai.mcpanalytics/analytics does

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

MCP Analytics Suite

⚠️ Beta — v2 rebuild in progress. We're actively rebuilding the platform. Some features are incomplete or unstable right now. You can sign up and test at mcpanalytics.ai, or subscribe to the launch newsletter. Details: #22 — v2 rebuild: what's changing, what to expect.

Adhoc analysis generation, on your data, on demand. Bring a CSV (or connect a live source — Shopify, Stripe, GA4, GSC, and more) and a question. A standing team of specialist agents builds a custom analysis module for your specific data, validates the methodology, and ships back a citable, interactive report. The module is yours — it lives in your library, reruns on fresh data for a fraction of the creation cost, and is queryable from Claude, Cursor, or any MCP client. The work compounds.

This is the public listing and documentation repository. Issues, feature requests, and examples live here. The API server code is maintained separately.

Sample Reports → • Try Demo → • Pricing →

Hire the team. Own the analysis. Rerun forever.

🚀 Quick Start • 🔄 How It Works • 🛠️ MCP Tools • 🛡️ Security • 📖 Documentation

Click to watch: Ask a question → upload data → get an interactive report with AI insights

Overview

You bring data and a question. A pipeline of specialist agents — spec drafter, builder, verifier, fixer, deployer — turns your question into a custom analysis module for your data. The module produces an interactive report: charts, AI-narrated insights, exportable PDF, embedded source code, citable. After creation, the module joins your private library — query it from any MCP client, rerun on fresh data with one call, share with collaborators on your terms.

Cornerstone modules ship pre-built (t-tests, regression, churn, segmentation, forecasting, customer LTV, A/B testing, time series, survival analysis, and more) so you can see a finished report in under a minute and verify the team can build things that work. Custom module creation is the named revenue event — pay once to build the capability, own it, rerun for a fraction of the creation price.

Connect data however it lives: CSV upload, public URL, or live OAuth connectors for Shopify, Stripe, Google Analytics 4, and Google Search Console (more coming). Once a connector is linked, every rerun pulls fresh data automatically — no re-export step.

Why MCP Analytics

Citable — APA / MLA / Chicago / BibTeX in one click, ready for papers, decks, and regulatory filings
Sourceable — R source code embedded in every report; a skeptical reader can run it and get the same answer
Reproducible — fixed seeds, Docker isolation, validated methods; same input → same output, forever
Yours — every commissioned module is private to your account; rerun on fresh data, query across your portfolio
MCP-native — query the library from Claude, Cursor, Windsu

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

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

Score breakdown

34/100across 5 weighted dimensions

How we score →

0255075100

−66

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

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 ai.mcpanalytics/analytics safe to use?: ai.mcpanalytics/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 ai.mcpanalytics/analytics?: ai.mcpanalytics/analytics can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with ai.mcpanalytics/analytics?: ai.mcpanalytics/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is ai.mcpanalytics/analytics actively maintained?: ai.mcpanalytics/analytics is actively maintained — last commit was 10 days ago. It has 6 GitHub stars.