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.
The engine

Your agent already knows how to use us.

MCP Analytics is an MCP server: connect it and your AI discovers the tools itself: upload data, commission analyses, track builds, search everything it ever delivered. No SDK, no glue code.

Install → The docs →

What the agent seesthe MCP toolset
▸ datasets_upload  bring the file
▸ create_analysis  plain-English question + depth
▸ build_status  watch it build
▸ run_analysis  re-run on fresh data
▸ ask_library  one answer across every report
discovered automatically over MCPagent-native
C
Claude
G
ChatGPT
Cursor
Your Agent

One Config. Direct Access.

Add this to your MCP client configuration and restart.
That's the entire integration. 

{
  "mcpServers": {
    "mcpanalytics": {
      "command": "npx",
      "args": ["-y", "@mcp-analytics/mcp-analytics"],
      "env": {
        "MCP_ANALYTICS_API_KEY": "mcp_your_key_here"
      }
    }
  }
}
C
Claude Desktop
Settings > Developer > Edit Config
Cursor
Settings > MCP > Add Server
Other Clients
MCP configuration file

What Your Agent Gets

Direct access to a complete analytics toolkit through standardized MCP tools.

discover_tools

Semantic tool discovery

Find the right analysis tool using natural language. "I need to predict customer churn" returns ranked, compatible tools. 

// Example call
discover_tools({
  query: "regression analysis",
  dataset_uuid: "ds_abc123"
})

datasets_upload / datasets_list

Secure data handling

Upload datasets securely with encryption. Read data with filtering, sampling, and column selection. All data encrypted in transit. 

// Upload returns UUID + key
datasets_upload({
  prefix: "analysis"
})

run_analysis

Execute any analysis

Run any statistical tool with automatic preprocessing, validation, and AI-narrated insights. Returns shareable report URLs. 

// Returns report URL
run_analysis({
  tool_name: "linear_regression",
  taskList: { inputs: {...} }
})

reports_list / reports_list

Query past analyses

Search across all past reports with semantic queries. "What do we know about churn?" finds relevant insights from any analysis. 

// Semantic search
reports_list({
  semantic_query: "profit margins"
})

All Standard Analytical Tools

Professional-grade analysis methods, all accessible through the same interface.

Regression
  • Linear Regression
  • Ridge / Lasso
  • Elastic Net
  • Logistic
Time Series
  • ARIMA
  • Prophet
  • VAR
  • Exponential Smoothing
ML & Classification
  • Random Forest
  • XGBoost
  • K-Means Clustering
  • Decision Trees
Hypothesis Testing
  • T-Test
  • ANOVA
  • Chi-Square
  • Bayesian A/B
Customer Analytics
  • RFM Segmentation
  • CLV (BG/NBD)
  • Churn Prediction
  • Cohort Analysis
Causal Inference
  • Causal Impact
  • Diff-in-Diff
  • Propensity Matching
  • Synthetic Control
Economics
  • Price Elasticity
  • Demand Forecasting
  • Market Basket
  • Association Rules
Survival & Other
  • Cox Regression
  • Kaplan-Meier
  • PCA
  • Correlation
View All Tools

How It Works

The MCP protocol enables your agent to discover and execute tools on your behalf.

1

Agent Gets Tools

MCP protocol exposes available tools to your agent

2

User Asks Question

"Analyze sales trends for Q4"

3

Agent Selects Tool

Discovers and calls appropriate analysis

4

Results Returned

Report URL + insights for the user

Example Agent Conversation
>
Can you analyze this sales data and predict next month's revenue?
*
datasets_upload {"prefix": "sales"}
UUID: ds_sales_12345, ready for analysis
*
discover_tools {"query": "forecast revenue", "dataset_uuid": "ds_sales_12345"}
Recommended: ARIMA (0.94), Prophet (0.91), Linear Regression (0.87)
*
run_analysis {"tool_name": "arima", "taskList": {...}}
Report: https://api.mcpanalytics.ai/reports/arima_xyz123
*
Based on the ARIMA analysis, next month's projected revenue is $847,000 with a 95% confidence interval of $812K-$882K. The model detected strong seasonality...

Enterprise-Grade Security

Built for production. Secure by design.

API Key Authentication

Secure key-based access to every tool. Keys are managed from your account page.

Encrypted Data Storage

Auto-expiration available.

Isolated Execution

Each analysis runs in an isolated Docker container. No cross-tenant data access.

Power Your Agent with Analytics

One config. All standard analytical tools. Real statistical analysis, callable from any AI agent.

Get Your First Report Free View Documentation
WHERE NEXT
the buildInside the build pipeline →The stages that write, check, and deliver each analysis. why rWhy R →Why the engine runs R and what that buys your results. the shelfBrowse the analysis library →Prebuilt analyses: filter by industry, question, or method.

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

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