Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Provides global public holiday data for AI assistants via the Calendarific API.
Enables AI assistants to interact with the Rockfish machine learning platform through a Model Context Protocol (MCP) server.
Bootstrap any OpenAPI/Swagger specification into a FastMCP-powered Model Context Protocol server, enabling AI copilots like Claude Code and Codex to call your API in minutes.
Provides real-time weather data for specified locations via an AI agent-accessible tool built with the Model Context Protocol (MCP).
Provides large language models with seamless Git repository interaction and automation capabilities through a Model Context Protocol server.
Connects Claude Desktop to Azure AI Agent Service for AI-enhanced document and web search, or directly integrates with Azure AI Search for keyword, vector, and hybrid search capabilities.
Enables retrieval-augmented generation for efficient semiconductor component search, leveraging the Model Context Protocol.
Provides access to the Flightradar24 API for real-time and historical flight data.
Performs initial candidate screening by analyzing hybrid chat and video stream inputs to assess skills, confidence, and sentiment against job descriptions.
Enables AI agents to safely execute paid APIs and on-chain workflows on Cronos using scoped session keys, ensuring autonomous execution without exposing private keys.
Provides a gateway for RAG Knowledge Base Platform, enabling retrieval and OAuth-secured access for AI clients.
Enhances GitHub Copilot with AI-powered media generation and local image processing capabilities for text, image, video, and audio.
Manages project backlogs using Git-native Markdown files, accessible via a web UI and an MCP endpoint for human and AI collaboration.
Invokes a single Watson Orchestrate agent remotely through a lightweight Model Context Protocol server.
Integrate Google Gemini API with 23 specialized tools for comprehensive AI interactions, multimodal analysis, and deep research.
Provides LangGraph agent patterns, code snippets, and best practices for AI assistants.
Automatically instruments Python AI agents with OpenTelemetry for comprehensive tracing, metrics, and logs.
Execute code in isolated Docker containers with support for Python, Node.js, and R, ideal for AI agents.
Routes AI tasks to local Ollama models, providing private and cost-free AI capabilities directly from your machine.
Provide usage analytics and monitoring for AI agent tool calls.
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