Discover our curated collection of MCP servers for data science & ml. Browse 10258 servers and find the perfect MCPs for your needs.
Provides large language models with comprehensive access to Georgia Tech's academic, research, and campus data.
Enables AI assistants to perform comprehensive MongoDB database operations through a standardized Model Context Protocol interface.
Fetches live weather details by city or coordinates using the WeatherAPI.com service, integrating with agentic AI solutions.
Connects AI assistants directly to Firebase Realtime Database services.
Enables large language models (LLMs) to interact with web pages using Playwright's accessibility tree.
Tracks Ethereum’s validator activation and exit queues in real time for AI agents and real-time monitoring.
Automates academic research and hypothesis generation with a self-learning multi-agent system, processing thousands of papers per minute and visualizing real-time citation graphs.
Provides an Elixir DSL for defining Model Context Protocol (MCP) tools, prompts, and routers.
Converts numerical data into token-efficient natural language summaries for Large Language Models.
Delivers graph-powered semantic search over civic consultation datasets for Large Language Models via a Model Context Protocol server.
Generate interactive data visualizations from various data sources with extensive customization options.
Generates physics-aware inline skating trick combinations, modeling moves as state transitions to ensure executable and naturally flowing sequences.
Empowers AI assistants to accurately extract structured data from PDF documents and images into various clean formats.
Exposes Microsoft PyRIT's AI red-teaming capabilities as structured tools for real-time, LLM-orchestrated adversarial testing.
Enables AI agents to evaluate model stability, manage fleet sessions, and control API keys for the CI-1T prediction engine.
Aggregate structural, chemical, and literature data from multiple public databases to evaluate druggable pockets on protein targets for computational protein design.
Provides real-time Reddit discussion volume data, tracking community interest and conversation momentum for AI agents and clients.
Provides a standalone academic research server with intelligent multi-source search, deep PDF analysis, and an anti-paywall resolver, optimized for integration with AI assistants.
Enables local peer discovery and messaging for multiple Codex AI agent sessions running on a single machine.
Provides a production-grade sovereign topological memory system for AI agents and enterprises, leveraging Topological Data Analysis (TDA), Singular Value Decomposition (SVD), and Bit Drift quantization.
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