Data Science Ai Mcp

io.github.CSOAI-ORGPublished by GitHub account CSOAI-ORGv1.0.12Updated Nov 5, 2026

Data Science Ai MCP Server by MEOK AI Labs

VerifiedSTDIODesktop onlyData & AnalyticsAI & ML

Overview

AI-generated overview

Local MCP server offering ML and data science helpers: feature importance ranking, model comparison, dataset profiling, correlation finding and visualization…

What you can do
  • Rank features by importance for a dataset
  • Compare machine learning models
  • Profile datasets and find correlations
  • Recommend visualizations for the data at hand
  • Run locally over stdio as a Python package
When to use it
Worth adding when an assistant is helping with exploratory data analysis or model selection and you want profiling, correlation, feature importance and model comparison steps available as tools rather than ad-hoc code.
Requirements
Runs as a local process on the user's machine (desktop only), installed from PyPI as data-science-ai-mcp and started with Python, for example via uvx or the data-science-ai-mcp command. No authentication, environment variables or headers are declared.
Before you install
The README is heavily promotional: it advertises paid tiers, Stripe purchase links, a governance pack and compliance claims, and mentions a free tier of 10 calls per day per MCP, so expect upsell and possible usage limits. No tool list is published, so verify actual capabilities before relying on it.

Installation

In SourceWeft

  1. Open Data Science Ai Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

bash
# Install via pippip install data_science_ai_mcp
# Or install via Smitherynpx -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.

bash
# One-shot install of the governance packnpx 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:

json
{  "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 …"

Source: README.md at commit 13b69b0

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.12LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts