data-science MCP servers & tools

Connects to Kaggle, ability to download and analyze datasets.

Predict anything with Chronulus AI forecasting and prediction agents.

Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna.

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

Connect RStudio to AI assistants for interactive R coding and data analysis.

50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows

Create, read, validate, and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling.

Model Context Protocol (MCP) Server for Jupyter.

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

Causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.

Control FiftyOne computer vision datasets through AI assistants using 80+ operators.

通过 pystata 驱动真实 Stata 的 MCP 服务器：数据加载/清洗/建模/诊断/图形导出，75 个工具覆盖完整计量工作流。

Wolfram Alpha MCP — computational, factual, and quantitative queries

MCP server for the Kaggle API: competitions, datasets, kernels, and models.

Let LLM help you achieve your regression analysis with Stata

An MCP server that exposes NumPy functionality

Verified statistical inference for AI agents: t-tests, effect sizes, power, and corrections.

Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty.

Discover, validate, preview, tune, and export AlbumentationsX augmentation pipelines through MCP.

Real Monte Carlo simulation of a compound event/conditional probability. Paid via x402.

MCP server for the Codabench REST API — drives a full ML-benchmark participant workflow.

Run end-to-end ML experiments from natural language (XGBoost, LightGBM, Optuna).