Discover our curated collection of MCP servers for data science & ml. Browse 5627servers and find the perfect MCPs for your needs.
Streams real-time Binance Alpha token prices and liquidity data to power AI agents and workflows.
Integrates real-time and forecasted weather data from Open-Meteo into Large Language Models via the Model Context Protocol.
Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
Generate and edit images with AI using Google's Gemini 2.5 Flash Image API.
Provides satellite pass information near a specified location, enabling Large Language Models (LLMs) to perform precise astronomical searches.
Integrates with Atlassian Confluence to enable custom functionality and API interactions.
Translates text and GitHub issue comments between languages using OpenAI models, configurable for various language pairs.
Enables large language models to query live WooCommerce data via a simplified Model Context Protocol interface.
Connects Fledge functionality to Cursor AI, enabling interaction with Fledge instances using natural language commands.
Connects Aseprite's pixel art and animation capabilities to AI assistants for natural language-driven sprite creation and editing.
Provides a Model Context Protocol (MCP) server implementation to facilitate interactions between AI agents.
Documents and analyzes LLM safety challenges within the Grey Swan Arena competitions.
Orchestrates a multi-agent system to provide hierarchical LLM critique and synthesis for enhanced decision-making and idea evaluation.
Provides code examples for the Hugging Face Machine Coder Program course, demonstrating tool integration and sentiment analysis.
Integrates the Hex analytics platform with Claude and other AI assistants, enabling project management, execution, and data analysis.
Interactively queries Pokemon information using a chat-based interface and AI.
Automates the retrieval, analysis, and storage of GitHub pull request data using the GitHub API, MongoDB, and the FastMCP framework.
Integrates comprehensive Spotify functionalities through a Model Context Protocol (MCP) server, offering 36 production-ready tools for music operations.
Connects large language models to any public API on the Zyla API Hub.
Manages and summarizes notes using a Model Context Protocol server, integrating Retrieval Augmented Generation (RAG) and Large Language Models (LLMs).
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