ds@mcpanalytics.aiEmail your data and your question and get an answer about your own data, with the method shown.Email your data and question. Get an answer.
Support

If a report looks wrong, tell us.

Flag any card in any report and we will look into it. For everything else, email us: a person reads it.

Email support → Browse the docs → See a sample report

Flagging a cardin every report
1  Flag the card: thumbs-down, say what's wrong
2  We look into it
3  Still not right? Email support
email support · answered by a persona person reads it
Email replies

Our assistant is an AI. A person is one forward away.

Email [email protected] and the reply comes back signed “MCP Analytics”. Our assistant is an AI that reads what you send and writes back. It answers from the same published material this website is built on. See what to send and what comes back.

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  Our assistant, 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 the assistanta person
Your choices

Stopping, and what happens to what you send

Our assistant only writes to people who emailed one of our addresses first. If you would rather not hear from us 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

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

Source on GitHub

Browse the public repository for MCP Analytics

Open 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? +

The catalog covers these families of methods (the live list is in the docs):

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

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

• 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. What we can state about how data is handled:

• Encrypted in transit

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

• Secure Auth0 authentication

Full details are in the Privacy Policy.

What's included on signup? +

Every new account gets:

• 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 the experimental OAuth2 option, clear auth cache: rm -rf ~/.mcp-auth

Can I share my analysis reports? +

Yes. Each report has a shareable link that:

• Opens without signing in

• Includes interactive charts

• Shows the full analysis results

• Access window depends 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 (binary format)

Get in Touch

Email Support

For technical issues

[email protected]

Sales Inquiries

For enterprise plans

[email protected]

Resources

Documentation & Articles

View Resources
WHERE NEXT
referenceRead the docs →Tools, tiers, datasets, and citations, the full reference. billingHow usage works →What your meter shows. contactContact us →Email us directly: a person reads it.

Where to start

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

MCP Analytics

Data science by email

Send us your data and your question, and we will reply.

ds@mcpanalytics.aimcpanalytics.ai

Try it on your own data

30 days free.

Answers, analytics and custom analytics. No card, no call, nothing to install.

30 days free. →
mcpanalytics.ai

Send us my data →