Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Generates context-aware categories and options for AI-powered creative thinking support using the Gemini API.
Automates the intelligent scraping, AI-processing, and publishing of Canadian news into engaging Instagram content.
Provides access to real-time Korean subway information through the Model Context Protocol (MCP) standard.
Powers AI agents with a self-hosted RAG engine, ingesting local web documents and PDFs to provide grounded context via the Model Context Protocol (MCP).
Provides multi-platform translation for text, Markdown, and Obsidian notes utilizing large language models.
Establishes a Model Context Protocol (MCP) server for seamless interaction with Kogna's multi-agent AI avatar system.
Exposes Marketstack API endpoints as Model Context Protocol (MCP) tools for accessing financial data.
Engage in real-time AI conversations powered by multiple language models and access live weather updates through an integrated widget.
Integrates Ollama with the Master Control Program (MCP) framework to facilitate familiarization with core program flows and prepare for deep research deployments.
Provides access to Hong Kong law and security related data through a FastMCP interface.
Generates high-quality images from textual prompts by integrating the Hunyuan Image model through the Replicate platform.
Enables AI agents to automatically discover, fetch, and process open civic datasets from Dresden's OpenData Portal.
Synthesize realistic audio using the Qwen3-TTS 1.7B model with advanced voice design and cloning capabilities.
Generates sentiment-based music playlists by analyzing user queries with AI and integrating with the Last.fm API.
Empowers AI assistants with tools to create, read, update, delete, and organize Markdown notes.
Accelerates academic research by intelligently searching literature, extracting facts, and generating innovative research hypotheses using AI.
Provides access to housing-related data in Hong Kong via a FastMCP interface.
Provides an all-in-one Docker image for the QuantConnect Lean algorithmic trading engine, offering GPU support, a modern Web UI, REST API, and Model Context Protocol (MCP) integration.
Analyzes code for security risks and manages code snapshots using AI, integrating directly with Model Context Protocol-compatible AI tools.
Integrates MiniRAG with an MCP server to enable client-managed LLM inference for efficient and reliable retrieval tasks.
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