Data Science Ai MCP

MCP server for data science ai mcp operations

PyPI License: MIT MEOK AI Labs

Overview

Data Science Ai MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tool	Description
`feature_importance`	Rank features by estimated importance for a prediction task.
`model_comparison`	Compare ML models across metrics. Returns composite scores, speed
`dataset_profiler`	Profile a dataset: completeness, quality issues, type distribution,
`correlation_finder`	Compute pairwise Pearson correlations between variables. Flags strong
`visualization_recommender`	Recommend visualizations based on data characteristics and analysis goal.

pip install meok-data-science-ai-mcp

Add to your Claude Desktop MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "data-science-ai-mcp": {
      "command": "python",
      "args": ["-m", "meok_data_science_ai_mcp.server"]
    }
  }
}

from mcp.server.fastmcp import FastMCP

# This server exposes 5 tool(s) via MCP
# See server.py for full implementation

A

license - permissive license

-

quality - not tested

B

maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)