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data-science-ai-mcp

data-science-ai-mcp

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github.com/CSOAI-ORGData & Analytics0Updated 8w ago
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About data-science-ai-mcp

An MCP server for data science workflows, aimed at analysts and ML practitioners. It provides tools for feature importance, model comparison, dataset profiling, correlation analysis, and visualization recommendations.

Key features

  1. 01Feature importance ranking
  2. 02Model comparison
  3. 03Dataset profiling
  4. 04Correlation analysis
  5. 05Visualization recommendations

Use cases

  1. 01Inspecting which features influence a model
  2. 02Comparing machine learning models
  3. 03Profiling datasets before analysis

MCP support

Exposes data science tools to MCP clients, including feature importance, model comparison, and dataset profiling.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "csoai-org-data-science-ai": {
      "command": "uvx",
      "args": [
        "data-science-ai-mcp"
      ]
    }
  }
}
Run commanduvx data-science-ai-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypidata-science-ai-mcp1.0.12

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Scorecard: 86/100

Data Science Ai MCP

MEOK AI Labs EU AI Act License PyPI

ML/Data Science toolkit: feature importance ranking, model comparison, dataset profiling, correla...

ML/Data Science toolkit: feature importance ranking, model comparison, dataset profiling, correlation finding, and visualization recommendations. By MEOK AI Labs.

🚀 Quick Start

# Install via pip
pip install data_science_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install data-science-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

📜 License

MIT © CSOAI-ORG

Built with 💜 by MEOK AI Labs · UK Companies House 16939677

MIT © [MEOK AI Labs](https://meok.ai)

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

💸 Try MEOK in 30 seconds — instant buy ladder

TierPriceWhat you getStripe
Smoke test£1Signed sample MCP-Hardening report + Article 50 PDFhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Quick Kit£9EU AI Act Article 50 implementation guide (C2PA + EU-Icon)https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Founder Call£2930-min 1-on-1 with the founderhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

Configuration

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

{
  "mcpServers": {
    "data-science-ai-mcp": {
      "command": "uvx",
      "args": ["data-science-ai-mcp"]
    }
  }
}

Or: pip install data-science-ai-mcp then run the data-science-ai-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use feature_importance to …"
  • "Use model_comparison to …"
  • "Use dataset_profiler to …"

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.