Discover our curated collection of MCP servers for data science & ml. Browse 5711servers and find the perfect MCPs for your needs.
Automates the job search process by continuously scraping listings, analyzing CVs, and scoring job description matches in real-time.
Orchestrates multiple agent wrappers and tool servers, presenting a single OpenAI-compatible API to clients.
Enables generative AI to access Mitsubishi PLC devices in real time using the MC Protocol.
Analyzes CSV files by answering questions, plotting graphs, and applying modifications using an AI agent.
Facilitates the creation and connection of Model Context Protocol (MCP) servers to AI clients and local LLMs.
Enables AI assistants to perform accurate unit conversions and access comprehensive reference tables for various measurement systems.
Orchestrates an e-commerce system using collaborative AI agents for customer consultation, inventory management, and automated order processing.
Enables Google Gemini CLI to access and read native Google Drive documents (GDocs, GSheets, GSlides) accessible via the Windows virtual drive.
Integrates Withings health data with AI models, enabling natural language access to personal health metrics.
Enables large language models to securely access, inspect, and query MySQL databases with enhanced capabilities.
Enhances Claude's capabilities with specialized agent skills for efficient workflows and deep domain expertise.
Models, simulates, and optimizes agricultural biogas plants using the Anaerobic Digestion Model No. 1 (ADM1) within a comprehensive Python framework.
Provides a universal Model Context Protocol (MCP) server for the IANA-registered Foundational AI-context Format (.FAF), ensuring persistent project context across various AI development platforms.
Empowers African medical students with an AI-driven personal assistant, offering context-aware learning, intelligent reminders, and direct integration with African telecom services.
Enables seamless integration of AI assistants with the Simplifier Low Code Platform through the Model Context Protocol.
Showcases comprehensive modular solutions for AI-driven IT operations, observability, and security engineering.
Generates read-only SQL data agents from SQLAlchemy-compatible databases, indexing schema and column content into LanceDB for LLM and UI exploration via MCP and REST tools.
Dynamically generates chart configuration options for various charting libraries based on input data.
Exposes PTC ThingWorx as a set of AI-friendly tools and APIs, facilitating interaction via a REST API with AppKey authentication.
Provides persistent knowledge graph storage for AI assistants in VS Code, leveraging Azure Functions and Table storage.
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