MCP server exposing stats-compass-core tools to LLMs like ChatGPT, Claude, and Gemini
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<!-- mcp-name: io.github.oogunbiyi21/stats-compass --> <div align="center"> <img src="./assets/logo/logo1.png" alt="Stats Compass Logo" width="200"/> # stats-compass-mcp **Turn your LLM into a data analyst.** Multiple data science tools via MCP. [](https://badge.fury.io/py/stats-compass-mcp) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) </div> <img src="./assets/demos/stats_compass_mcp_1.gif" alt="Demo: Loading and exploring data" width="800"/> ## Quick Start ```bash pip install stats-compass-mcp ``` ### Claude Desktop ```bash stats-compass-mcp install --client claude ``` ### VS Code (GitHub Copilot) ```bash stats-compass-mcp install --client vscode ``` ### Claude Code (CLI) ```bash claude mcp add stats-compass -- uvx stats-compass-mcp run ``` Restart your client and start asking questions about your data. ## What Can It Do? <img src="./assets/demos/stats_compass_mcp_2.gif" alt="Demo: Cleaning and transforming data" width="800"/> | Category | Examples | |----------|----------| | **Data Loading** | Load CSV/Excel, sample datasets, list DataFrames | | **Cleaning** | Drop nulls, impute, dedupe, handle outliers | | **Transforms** | Filter, groupby, pivot, encode, add columns | | **EDA** | Describe, correlations, hypothesis tests, data quality | | **Visualization** | Histograms, scatter, bar, ROC curves, confusion matrix | | **ML Workflows** | Classification, regression, time series forecasting | Run `stats-compass-mcp list-tools` to see all available tools. ## Loading Files **Local mode:** Provide the absolute file path. ``` You: Load the CSV at /Users/me/Downloads/sales.csv ``` **Remote/HTTP mode:** Use the upload feature (see below). ## Remote Server Mode For Docker deployments or multi-client setups: …
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