jingchen0123/data-science-mcp

The Data Science MCP Agent is a robust server designed to streamline data science workflows through the Model Context Protocol (MCP). It offers a suite of tools for data loading, exploration, visualization, processing, and statistical analysis, making it an essential resource for data scientists. The server supports CSV data management, allowing users to load, inspect, and save datasets efficiently. It provides comprehensive data quality assessments and exploratory data analysis, including missing value and outlier detection. Visualization capabilities include scatter plots, histograms, and correlation matrices, with customizable styling options. The server also facilitates complex data processing tasks such as filtering, transformation, and aggregation. Statistical analysis features include t-tests, ANOVA, and regression analysis, with power analysis and effect size calculations. Additionally, the server can generate Python code from natural language descriptions, execute it safely, and store code snippets for future use. Guided workflows and prompt templates assist users in common data science tasks, ensuring a smooth and efficient process.

{
  "mcpServers": {
    "data-science": {
      "command": "python",
      "args": ["/absolute/path/to/data-science-mcp/server.py"],
      "env": {}
    }
  }
}