12 Tools Available

Data Science Tools MCP Tools

Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.

12
Total Tools
3
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4
Cloud Tools
8
Local Tools

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Data Science Tools

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Data Science Tools
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bundler_mcp

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

Local
OS
Data Science Tools
Python

chronulus-mcp

Predict anything with Chronulus AI forecasting and prediction agents.

Cloud
OS
Data Science Tools
Python, Official

dingo

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.

Local
macOS
Windows
Linux
OS
Data Science Tools
Python

jupyter-mcp-server

Model Context Protocol (MCP) Server for Jupyter.

Local
OS
Data Science Tools
Python

jupyter-notebook-mcp

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

Local
OS
Data Science Tools
Python

kaggle-mcp

Connects to Kaggle, ability to download and analyze datasets.

Cloud
OS
Data Science Tools
Python, Official

label-studio-mcp-server

Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.

Cloud
macOS
Windows
Linux
OS
Data Science Tools
TypeScript

markdownify-mcp

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

Local
OS
Data Science Tools
Python

mcp-server-data-exploration

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

Cloud
OS
Data Science Tools
Python, Official

optuna-mcp

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

Local
macOS
Linux
OS
Data Science Tools
Python, Official

vizro-mcp

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

Local
OS
Data Science Tools
Python

zaturn

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

Local
macOS
Windows
Linux
OS