Data Science Tools MCP Servers
Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
Excel manipulation including data reading/writing, worksheet management, formatting, charts, and pivot table.
Real-time interaction with Jupyter Notebooks, allowing AI to edit, document and execute code for data analysis, visualization etc. Compatible with any Jupyter deployment (local, JupyterHub, ...).
A MCP server exposing HuggingFace computer vision models such as zero-shot object detection as tools, enhancing the vision capabilities of large language or vision-language models.
A MCP server providing OpenCV computer vision capabilities. This allows AI assistants and language models to access powerful computer vision tools.
Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.
This MCP server lets LLMs to interact with the ShaderToy API, allowing LLMs to learn from compute shaders examples and enabling them to create complex GLSL shaders that they are previously not capable of.
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.
Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
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.
A JavaScript-driven M5Stack-embedded super-kawaii robot with MCP server functionality for AI-controlled interactions and emotions.