Data Science Tools MCP Repositories

Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).

Model Context Protocol (MCP) Server for Jupyter.

An MCP server to convert almost any file or web content into Markdown

Model Context Protocol for R: enables AI agents to participate in interactive live R sessions.

Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.

MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.

[HumanSignal/label-studio-mcp-server](https://github.com/HumanSignal/label-studio-mcp-server) 🎖️ 🐍 ☁️ 🪟 🐧 🍎 - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.

Predict anything with Chronulus AI forecasting and prediction agents.

Enables agents to query local information about dependencies in a Ruby project's `Gemfile`.

A comprehensive Go-based MCP server for mathematical computations, implementing 13 mathematical tools across basic arithmetic, advanced functions, statistical analysis, unit conversions, and financial calculations.

Connects to Kaggle, ability to download and analyze datasets.

Tools and templates to create validated and maintainable data charts and dashboards.

connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.

The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.