Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Fetches and reads articles from a specified Substack publication, formatting the content for use with AI assistants.
Fetches on-chain blockchain data via the Ankr API for use with Large Language Models.
Connects Large Language Models (LLMs) to the Prometheus HTTP API.
Facilitates access and analysis of clinical evidence data to support precision medicine and oncology research.
Exports PDF files to markdown format, optimized for use with Large Language Models (LLMs).
Identifies whether two sets of data likely originate from the same real-world entity.
Enables querying of live LDAP data from large language models via a read-only Model Context Protocol (MCP) server.
Provides AI-powered answers to weather queries by integrating real-time data with natural language processing capabilities.
Enables AI-powered video search, analysis, and transcription across multiple platforms via the Model Context Protocol.
Connects AI models to the Pokémon world by providing extensive data and a battle simulation environment.
Integrates Snowflake Cortex AI features, including search, analyst, and agent capabilities, into the Model Context Protocol ecosystem for AI clients.
Empowers AI assistants to perform PostgreSQL database operations through natural language queries and safe SQL execution using a specialized Model Context Protocol server.
Generate images from natural language prompts using the ModelScope Qwen-Image model via an MCP server.
Connect WHOOP fitness data to Poke AI assistant for natural language querying.
Enables AI agents to perform interactive runtime debugging of Godot games via the Debug Adapter Protocol (DAP).
Automates the job search process by continuously scraping listings, analyzing CVs, and scoring job description matches in real-time.
Empowers AI with autonomous hardware control for proactive, physiological, and boundary-aware interactions using Lovense devices.
Empowers AI agents with persistent, context-rich memory through a blazing-fast knowledge graph server.
Automates web information retrieval using Bing search, Playwright, and large language models for parsing and extracting web content.
Spawn and manage AI coding agents from various backends, enabling parallel execution of complex development tasks.
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