Discover our curated collection of MCP servers for data science & ml. Browse 5711servers and find the perfect MCPs for your needs.
Facilitates seamless integration between AI assistants and system operations as a bilingual Model Context Protocol (MCP) server.
Connects AI assistants to MariaDB databases, enabling execution of SQL queries and semantic search over vector data.
Enables AI-powered database operations, file management, and web content scraping via natural language, featuring dynamic schema evolution, semantic search, and Retrieval Augmented Generation (RAG) capabilities with Ollama integration.
Integrates Claude AI with industrial systems, acting as a multi-database AI gateway for monitoring and control.
Empowers AI assistants to securely connect with external tools and data sources, extending their capabilities.
Facilitates secure and structured assimilation of experiences, thoughts, and reasoning processes between multiple AI models.
Provides reliable string manipulation capabilities for Large Language Models, ensuring consistent outputs.
Answers HR policy questions from your own documents, retrieving relevant sections from a vector database to generate grounded responses with citations using OpenAI or Gemini.
Enables non-interactive execution of Octave scripts via the Model Context Protocol (MCP).
Bridges Shogi AI engines with HTTP API and Model Context Protocol for integration with AI agents.
Automates the generation of Anki flashcards from Notion pages, converting toggle blocks into structured cards using AI and real-time import via AnkiConnect.
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Enables building Retrieval Augmented Generation (RAG) capabilities for PDF documents.
Provides LLM clients with dynamic access to up-to-date implementation details and documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI.
Automates freelance gig search, proposal generation, code review, and rate negotiation using AI.
Develops an agentic chatbot application integrating Spring AI, Model Context Protocol (MCP), NodeJS, Python, and Ollama with the Mistral model for enhanced capabilities.
Scales agent training through sophisticated runtime definitions and parallelization techniques.
Provides a comprehensive project structure and fundamental functionality for building Model Context Protocol (MCP) servers in Go.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Deploys a Model Context Protocol (MCP) server and integrates it with Microsoft Copilot Studio to provide contextual information to large language models.
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