Discover our curated collection of MCP servers for data science & ml. Browse 5633servers and find the perfect MCPs for your needs.
Deploys a Model Context Protocol (MCP) server and integrates it with Microsoft Copilot Studio to provide contextual information to large language models.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Provides a comprehensive project structure and fundamental functionality for building Model Context Protocol (MCP) servers in Go.
Automates freelance gig search, proposal generation, code review, and rate negotiation using AI.
Enables building Retrieval Augmented Generation (RAG) capabilities for PDF documents.
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Automates the generation of Anki flashcards from Notion pages, converting toggle blocks into structured cards using AI and real-time import via AnkiConnect.
Bridges Shogi AI engines with HTTP API and Model Context Protocol for integration with AI agents.
Enables non-interactive execution of Octave scripts via the Model Context Protocol (MCP).
Provides reliable string manipulation capabilities for Large Language Models, ensuring consistent outputs.
Facilitates secure and structured assimilation of experiences, thoughts, and reasoning processes between multiple AI models.
Empowers AI assistants to securely connect with external tools and data sources, extending their capabilities.
Integrates Claude AI with industrial systems, acting as a multi-database AI gateway for monitoring and control.
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.
Connects AI assistants to MariaDB databases, enabling execution of SQL queries and semantic search over vector data.
Provides URL text fetching, web scraping, and web search capabilities for AI models via the Model Context Protocol.
Enables LLM agents to securely connect to and query Snowflake databases, acting as a bridge for seamless SQL execution.
Enables AI agents to systematically break down complex tasks into manageable steps and orchestrate their execution.
Provides an AI-driven, MCP-compliant interface for natural language querying and analysis of Microsoft Fabric Data Warehouses.
Enables AI assistants to monitor and control Robot Operating System (ROS) environments through a standardized Model Context Protocol (MCP) interface.
Scroll for more results...