data-science-ai-mcp 1.0.6

Data Science Ai tools for AI agents. Capabilities: feature importance, model comparison, dataset profiler. Built by MEOK AI Labs.

Data Science Ai MCP

MCP server for data science ai mcp operations

Overview

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

Tools

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.

Installation

pip install meok-data-science-ai-mcp

Usage with Claude Desktop

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"]
    }
  }
}

Usage with FastMCP

from mcp.server.fastmcp import FastMCP

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

License

MIT © MEOK AI Labs

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Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai