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. Licensed under MIT.

How do I install ai.mcpanalytics/analytics?

ai.mcpanalytics/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 ai.mcpanalytics/analytics?

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

Is ai.mcpanalytics/analytics actively maintained?

ai.mcpanalytics/analytics is actively maintained — last commit was 22 days ago. It has 7 GitHub stars.

ai.mcpanalytics/analytics

Install

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

7 GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 22d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 20h ago

Edit this pageView history

ai.mcpanalytics/analytics is an MCP server that analytics for business data: upload CSV or connect GA4/GSC, run ML/stats, get HTML reports. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 56/100 on MCPpedia's security, maintenance and efficiency rubric.

Analytics

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse, http · Node 18+

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

{
  "mcpServers": {
    "mcpanalytics": {
      "env": {
        "MCP_ANALYTICS_API_KEY": "mcp_your_key_here"
      },
      "args": [
        "-y",
        "@mcp-analytics/mcp-analytics"
      ],
      "command": "npx"
    }
  }
}

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

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

npx -y 'Install' 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

56/100across 5 weighted dimensions

How we score →

0255075100

−44

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked Install 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 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. Licensed under MIT.
How do I install ai.mcpanalytics/analytics?: ai.mcpanalytics/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 ai.mcpanalytics/analytics?: ai.mcpanalytics/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is ai.mcpanalytics/analytics actively maintained?: ai.mcpanalytics/analytics is actively maintained — last commit was 22 days ago. It has 7 GitHub stars.

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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, sse, http · Node 18+

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

{
  "mcpServers": {
    "mcpanalytics": {
      "env": {
        "MCP_ANALYTICS_API_KEY": "mcp_your_key_here"
      },
      "args": [
        "-y",
        "@mcp-analytics/mcp-analytics"
      ],
      "command": "npx"
    }
  }
}

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

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

npx -y 'Install' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

MCP Analytics Suite

The statistical analyst in your AI chat. Bring a CSV (or connect a live source) and a question. A standing team of specialist agents builds a custom analysis specific to your data, validates the methodology, and ships back a citable, interactive report. The analysis 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 for your data. The result is an interactive report: charts, AI-narrated insights, exportable PDF, embedded source code, citable. Every commissioned analysis 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 analysis creation is the named revenue event — pay once to build the capability, own it, rerun for a fraction of the creation price. A build that fails is never billed.

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

Choose Your Depth — Four Tiers

Every analysis runs through the same validated pipeline — you choose how far it goes:

Tier	What you get	Time
Snapshot	One chart and a verified insight — an instant read of your data, covered by your welcome credits	~2 min
JSON	One computed statistical answer — the numbers and the method — deployed as a tool you re-run on fresh data	~5 min
Brief	The computed answer, presented — chart, key figures, and method on a single shareable page	~7 min
Deck	The full study — a complete statistical report built to your brief and independently verified; a durable module you own and re-run forever	30–45 min

More rigor outranks more charts: going deeper buys real statistical methods — hypothesis tests, regression, diagnostics — not just more cards. You pay for depth, and only if the build succeeds. How the tiers work →

Why MC

... 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

56/100across 5 weighted dimensions

How we score →

0255075100

−44

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked Install 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 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. Licensed under MIT.
How do I install ai.mcpanalytics/analytics?: ai.mcpanalytics/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 ai.mcpanalytics/analytics?: ai.mcpanalytics/analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is ai.mcpanalytics/analytics actively maintained?: ai.mcpanalytics/analytics is actively maintained — last commit was 22 days ago. It has 7 GitHub stars.

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Others in analytics

View all →

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MCP Security Weekly

Get CVE alerts and security updates for ai.mcpanalytics/analytics and similar servers.

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?