Description
MCP Analytics is a statistical analysis platform designed to work with AI assistants via the Model Context Protocol (MCP). It allows users to upload datasets and ask questions in plain English, receiving professional statistical analysis without the need for coding. The platform supports a wide range of statistical methods, including linear regression, time series forecasting, hypothesis testing, clustering, causal inference, and machine learning techniques like XGBoost and Random Forest.
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Users can start with a 14-day free trial, which provides full access to the platform's capabilities without requiring a credit card. After the trial, MCP Analytics offers flexible pricing options, including pay-as-you-go and subscription plans. Academic users can subscribe for $19 per month, while business users can opt for a $449 monthly plan that includes additional features like onboarding specialists and priority scheduling.
MCP Analytics ensures data security by encrypting data in transit and at rest, with options for automatic deletion after analysis. The platform is compatible with AI assistants that support the MCP protocol, such as Claude Desktop and Cursor. Reports generated by MCP Analytics are reproducible and auditable, providing users with citable methodologies and R source code.
The platform is ideal for business teams seeking fast statistical analysis without the need for data scientists or BI tools. It offers modules for marketing, revenue, customer intelligence, and operations, allowing teams to make data-driven decisions quickly. MCP Analytics also provides live data connectors for platforms like Google Analytics 4 and Google Search Console, enhancing its utility for business users.
- CategoryAI Data Analysis
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsMCP-compatible
MCP Analytics's Core Features
Professional statistical analysis tools
Model Context Protocol integration
Wide range of statistical methods
14-day free trial
Flexible pricing options
Data encryption and security
Compatibility with AI assistants
Reproducible and auditable reports
Live data connectors
Citable methodologies
R source code included
Custom analysis modules
Interactive reports
Priority scheduling for business users
Automatic data deletion options
How to use MCP Analytics?
Upload: Add your dataset
Ask: Pose questions in plain English
Analyze: Receive statistical reports
Re-run: Use modules on new data
Connect: Integrate with AI assistants
Secure: Ensure data encryption
Customize: Build tailored modules
MCP Analytics's Use Cases
- Marketing Analysis
- Revenue Forecasting
- Customer Segmentation
- Churn Prediction
- Anomaly Detection
- Price Elasticity
- Promotional Lift
- Retention Cohorts
- SLA Analysis
- Traffic Analysis
