ds@mcpanalytics.aiA data scientist you can email your data and question to, and get a reliable response. Not AI slop.A data scientist you can email. Not AI slop.
Support

If a report isn't right, we make it right.

Flag any card in any report — we diagnose it, fix it and resend at no cost; refund requests are reviewed case by case. For everything else, email us: a person reads it.

How the guarantee works → Browse the docs →

The guarantee, as a flowbuilt into every report
1  Flag the card — thumbs-down, say what's wrong
2  We diagnose, fix, resend — free
3  Still not right? Request a refund — case by case
email support · answered by a personwe make it right
Email replies

Cymple is an AI. A person is one forward away.

Email [email protected] See what to send and what comes back and the reply comes back signed “Cymple, data scientist”. Cymple is our data scientist: an AI that reads what you send and writes back. It answers from the same published material this website is built on.

An answer can be clear, well written and still wrong for your situation. That is the case [email protected] exists for. If anything in a reply looks wrong, or is not what you expected, forward the email there and a real person reads it and replies.

Forward the original rather than starting a new message. The thread carries your question and the reply we sent, which is what a person needs in order to see what happened.

Email [email protected]

Where a reply comes fromand how to reach a person
1  You email ds@, datascientist@ or cymple@
2  Cymple, an AI, reads it and writes back
3  Something looks wrong, or is not what you expected
4  You forward that email to support@
5  A person reads it and replies
support@ does not go through Cymplea person
Your choices

Stopping, and what happens to what you send

Cymple only writes to people who emailed one of our addresses first. If you would rather not hear from Cymple again, email [email protected] and a person will action it. You can ask us at any time, and you do not need a reason.

What we do with the data and the files you send is set out in our Privacy Policy. The terms that govern the service are in our Terms. If you want a copy of what you have sent us, or want it deleted, email the same address.

Documentation

Comprehensive guides for setting up and using MCP Analytics with Claude Desktop

Browse Docs

Quick Start Guide

Get up and running with MCP Analytics in just 3 simple steps

Get Started

Blog & Updates

Stay updated with the latest features, tutorials, and best practices

Read Blog

Articles & Guides

In-depth articles and guides to help you master MCP Analytics

Browse Articles

Video Tutorials

Watch step-by-step guides and learn statistical analysis techniques

View GitHub

Email Support

Contact our support team directly for account or technical issues

Email Us

Frequently Asked Questions

How do I connect MCP Analytics to Claude Desktop? +

Add the MCP Analytics server to your Claude Desktop configuration:

1. Open Claude Desktop Settings → Developer → Edit Config

2. Add the MCP Analytics server config — see our installation guide for copy-paste configs

3. Restart Claude Desktop

4. Type /mcp to verify the connection

What statistical tools are available? +

MCP Analytics provides a comprehensive suite of professional statistical tools including:

• Multiple regression techniques (Linear, Ridge, Lasso, and more)

• Advanced time series forecasting (ARIMA, Prophet, and beyond)

• Exploratory analysis (Correlation, PCA, clustering)

• Hypothesis testing (T-Test, ANOVA, Chi-Square, and others)

• Causal inference and Bayesian methods

• Customer analytics and segmentation tools

All tools include interactive visualizations and AI-narrated insights.

How do I upload my own data? +

You have three options for providing data:

1. Public URLs: Use CSV files from GitHub directly

2. Test Datasets: Use our pre-loaded datasets with provided UUIDs

3. Upload Your Own: Ask Claude to generate an upload token, then use cURL to upload your file with encryption

Is my data secure? +

Yes, we take data security seriously:

• Encrypted in transit (TLS) and at rest (AES-256)

• Data automatically retained per your plan’s window (see pricing for the retention table)

• Secure Auth0 authentication

• Isolated Docker execution environments

• HTTPS for all data transmission

What's included on signup? +

Every new account gets:

• 14 days of full access on signup, subject to fair use

• Access to the full analysis catalog

• Interactive reports with visualizations

• AI-narrated insights

• Test datasets for experimentation

How do I clear the MCP cache? +

If you're experiencing connection issues:

1. Verify your API key is correct in your MCP config

2. Clear the npm cache: npx clear-npx-cache

3. Restart your MCP client (Claude Desktop, Cursor, etc.)

For OAuth2 connections, clear auth cache: rm -rf ~/.mcp-auth

Can I share my analysis reports? +

Yes! All reports generate shareable URLs that:

• Work without authentication

• Include interactive visualizations

• Contain full analysis results

• Can be accessed for 7-30 days (depending on your plan)

What file formats are supported? +

MCP Analytics supports multiple data formats:

• CSV (comma-separated values)

• TSV (tab-separated values)

• Excel (.xlsx, .xls)

• JSON (JavaScript Object Notation)

• Parquet (columnar storage)

• Feather (fast binary format)

Get in Touch

Email Support

For technical issues

[email protected]

Sales Inquiries

For enterprise plans

[email protected]

Resources

Documentation & Articles

View Resources

Response Times

Email: 24-48 hours (business days)
Documentation: Available 24/7
Enterprise: Priority support with SLA

WHERE NEXT

Where to start

One email with your data and your question. We take it from there.

Cymple

Data Scientist

Send me your data and question, I’ll send you the analytics.

ds@mcpanalytics.aimcpanalytics.ai

Try it on your own data

14 days free.

The whole platform, every depth. No card, no call, nothing to install.

14 days free. →
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