jjsantos01/jupyter-notebook-mcp

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

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.

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.

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.

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