Show HN: ProData AI – 14 MCP tools for automated data science

ProData AI, a professional automated data science platform integrated with Claude's Model Context Protocol, launched with 14 tools for tasks including AutoML training, time series forecasting, and report generation. The subscription-based service costs $9 per month and targets data analysts, engineers, and researchers seeking no-code data science capabilities.

ProData AI Professional data analysis tool integrated with Claude's Model Context Protocol, featuring AutoML training, time series forecasting, dataset analysis, feature importance, and report generation. How to pay Subscribe $9/month Predictable monthly cost with included usage. Best for steady, high-volume traffic. - Unlimited tools within plan limits - One API key, billed once a month - Cancel any time Overview overview ProData AI is a professional-grade automated data science platform integrated with Claude's Model Context Protocol. It delivers a complete end-to-end data pipeline — from raw CSV to cleaned data, ML models, forecasts, anomaly detection, clustering, correlation analysis, SQL generation, interactive dashboards, and AI-powered explanations — all in one server with 14 tools. No code required. Key Capabilities key-capabilities - analyze dataset tool: Performs full statistical profiling — mean, median, std, missing values, duplicates, and data quality score. - train automl models tool: Auto-trains and compares 6 ML models, returns the best performer with R² or accuracy score and feature importances. - forecast timeseries tool: Prophet-powered time series forecasting with confidence intervals and MAPE validation score. - get feature importance tool: Identifies and ranks the top features driving your target variable using Random Forest. - generate report tool: Compiles stats, ML results, data quality assessment, and recommendations into a comprehensive report. - clean dataset tool: Automatically handles missing values, duplicates, whitespace, and outliers — returns a cleaned CSV with a full change log. - detect anomalies tool: Flags outlier rows using Isolation Forest, Z-score, or IQR — returns anomaly scores and a clean CSV with anomalies removed. - compare datasets tool: Side-by-side comparison of two CSVs — schema diff, statistical shifts, distribution changes, and an overall similarity verdict. - cluster data tool: K-Means segmentation returning cluster profiles, sizes, and top distinguishing features. Ideal for customer segmentation. - correlation analysis tool: Computes full correlation matrix with p-values, top correlated pairs, and multicollinearity warnings. - explain model tool: Claude-powered plain-English explanation of ML results with business insights and actionable recommendations. - generate dashboard tool: Returns a self-contained interactive HTML dashboard with KPI cards, line, bar, scatter, and doughnut charts. - suggest visualizations tool: Analyzes column types and recommends the best chart types with rationale and column mappings. - generate sql tool: Claude-powered natural language to SQL — describe what you want in plain English, get a ready-to-run query back. Use Cases use-cases - A supply chain manager uses forecast timeseries tool to predict inventory demand for the next quarter based on historical sales data. - A fraud analyst uses detect anomalies tool with Isolation Forest to flag suspicious transactions in a financial dataset. - A marketing analyst uses cluster data tool to segment customers by behavior and spending patterns. - A data engineer uses clean dataset tool to fix missing values and remove duplicates before loading data into a pipeline. - A business analyst uses explain model tool to get a plain-English ML summary for a boardroom presentation. - A researcher uses compare datasets tool to detect data drift between last month's and this month's dataset before retraining a model. - A developer uses generate sql tool to instantly convert plain English questions into ready-to-run SQL queries. - A BI team uses generate dashboard tool to get an interactive HTML dashboard from any CSV in seconds. Who This Is For who-this-is-for This server is designed for data analysts, business analysts, data engineers, software developers, and technical researchers who need professional-grade data science outputs without building custom ML pipelines from scratch. Whether you need to clean data, train ML models, forecast trends, detect anomalies, segment customers, or generate dashboards — ProData AI handles the full pipeline in one MCP server. It is ideal for users familiar with CSV data structures who require immediate, evidence-based insights to inform their decision-making process. Compatible with Claude Desktop, Cursor, VS Code, Windsurf, and any MCP-compliant client.