Discover our curated collection of MCP servers for data science & ml. Browse 7389 servers and find the perfect MCPs for your needs.
Enables large language models to access Meilisearch's search capabilities via the Model Context Protocol.
Provides a standardized interface for Large Language Models to access health data from the Senechal API.
Facilitates high-performance Manchu-Chinese bidirectional translation using advanced linguistic processing and deep learning.
Enables querying live Kintone data from Large Language Models (LLMs) like Claude Desktop through a Model Context Protocol (MCP) interface.
Bridges AI assistants with the Federal Reserve Economic Data (FRED) API, enabling simple access to find and analyze economic and financial data.
Provides a comprehensive set of tools for accessing, searching, and managing personal and team internal knowledge repositories.
Empowers AI assistants to securely connect with external tools and data sources, extending their capabilities.
Provides an MCP server that facilitates access to a vast hotel network with shopping and booking capabilities for AI applications.
Enables AI tooling to seamlessly connect with ROS2 nodes, topics, and services using the Model Context Protocol over stdio.
Provides asynchronous capabilities for generating and managing research ideas through a Celery-backed task system.
Connects Claude and ChatGPT with the Tempo AI API for seamless data retrieval and analysis of fitness, wellness, and event information.
Track and filter trending news from multiple platforms with intelligent aggregation, personalized filtering, and multi-channel real-time notifications.
Integrates Clingo's Answer Set Programming (ASP) solver with Model Context Protocol (MCP) to power neurosymbolic AI applications.
Facilitates document review with an interactive in-browser editor and LLM-powered tools, dynamically generating its user interface at runtime using the Model Context Protocol.
Exposes a .NET REST API for managing books and categories to AI models using the Model Context Protocol (MCP).
Retrieves and cleans live, official documentation for various AI tools to provide up-to-date and accurate information.
Automates deterministic probing and search of Lean 4 proof automation for analysis, validation, and context extraction.
Manages hardware store operations through a robust Angular frontend, connecting to a .NET backend and leveraging AI for enhanced functionalities.
Integrates Kaggle's comprehensive API into a Model Context Protocol server, enabling extensive interaction with competitions, datasets, kernels, models, and discussions.
Provides production-grade Rust components for video streaming infrastructure, including HLS/DASH manifest parsing, adaptive bitrate control, audio fingerprinting, and formally verified state machines.
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