Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Provides access to Vilnius public transport data for Large Language Models (LLMs) via the Model Context Protocol (MCP).
Crawls websites and extracts data based on configurable parameters.
Provides AI agents with read-only access to Rossum API resources like queues, schemas, and workspaces.
Integrates Spring AI with Ollama through a REST API.
Transforms any Python library or code into a robust, scalable, and production-ready API with automatic service discovery.
Generates context-aware categories and options for AI-powered creative thinking support using the Gemini API.
Analyzes DWF (Design Web Format) files, extracting metadata and images, and performing visual analysis using Amazon Bedrock's Nova Pro model.
Establishes a Model Context Protocol (MCP) server for seamless interaction with Kogna's multi-agent AI avatar system.
Searches and retrieves academic papers from major databases like arXiv and DBLP, providing detailed information and PDF download links.
Provides access to real-time Korean subway information through the Model Context Protocol (MCP) standard.
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.
Integrates MiniRAG with an MCP server to enable client-managed LLM inference for efficient and reliable retrieval tasks.
Provides institutional-grade financial risk analysis for AI agents, leveraging Monte Carlo simulations with fat-tail modeling and proprietary algorithms.
Provides a secure, unified Model Context Protocol (MCP) gateway to democratize AI agent access to AWS resources.
Unify management and natural language querying across 20 different databases through a single interface.
Provides safe, read-only access to PostgreSQL, MySQL, and ClickHouse databases for comprehensive exploratory data analysis.
Orchestrates sophisticated AI reasoning processes using a Tree of Thoughts approach, integrating deep planning, branching, and revision capabilities.
Integrates Kaggle's comprehensive API into a Model Context Protocol server, enabling extensive interaction with competitions, datasets, kernels, models, and discussions.
Provides a scalable, high-performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness for LLM clients.
Integrate Yandex Metrika analytics directly with your AI assistant, providing access to 31 distinct data tools for comprehensive website insights.
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