18 servers •8.4k total stars
🎖️ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards.
An MCP server to convert almost any file or web content into Markdown
Model Context Protocol (MCP) Server for Jupyter.
🎖️ 🐍 🏠 🍎 🪟 🐧 - 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.
Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
Predict anything with Chronulus AI forecasting and prediction agents.
Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
🎖️ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).
Connects to Kaggle, ability to download and analyze datasets.
🎖️ 🐍 ☁️ 🪟 🐧 🍎 - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.
Model Context Protocol for R: enables AI agents to participate in interactive live R sessions.
🎖️ 📇 🏠 🪟 🐧 🍎 — Tools for creating and interacting with GrowthBook feature flags and experiments.
💎 🏠 - Enables agents to query local information about dependencies in a Ruby project's `Gemfile`.
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.
The ultimate math engine unifying SymPy, NumPy & Matplotlib in one powerful server. Perfect for developers & researchers needing symbolic algebra, numerical computing, and data visualization.
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.
This Kaggle MCP Server makes Kaggle more accessible by letting you browse competitions, leaderboards, models, datasets, and kernels directly within MCP, streamlining discovery for data scientists and developers.
