Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Provides real-time access to transportation information from Singapore's Land Transport Authority (LTA) DataMall API.
Retrieves real-time weather data using the OpenWeatherMap API.
Enables AI models to execute SQL queries on Snowflake databases through the Model Context Protocol.
Enables interaction with MinIO object storage through a Model-Context Protocol server and client.
Executes code in isolated Docker containers and returns the results to language models.
Provides access to football statistics and live match data from the API-Football service.
Provides standardized access to Swiss court decisions via the entscheidsuche.ch API, enabling LLMs to search, retrieve, and analyze legal documents.
Connects language models to the Royal Spanish Academy (RAE) API for enhanced Spanish language capabilities.
Provides standardized access to Bible data resources for Large Language Models using the Model Context Protocol.
Provides Model Context Protocol (MCP) server capabilities to query SPARQL endpoints, with specialized support for Proto-OKN knowledge graphs hosted on the FRINK platform.
Access real-time stock data, historical charts, detailed financials, and analyst ratings from Yahoo Finance for AI assistants.
Automates the generation of Jira/Xray test cases by integrating Jira knowledge with Google Gemini's AI capabilities.
Provides spatial context to Large Language Models by integrating geographic data services from the Géoplateforme.
Access comprehensive medical information by querying authoritative APIs like FDA, WHO, PubMed, RxNorm, Google Scholar, and Australia's PBS.
Delivers precise, token-efficient code context to AI coding agents by leveraging hybrid semantic search and AST-aware analysis.
Manages pharmaceutical structured product labels, providing secure access to FDA drug label data and an AI-powered chat interface.
Enhances Claude Code with fully automatic, per-project cognitive memory, leveraging local embeddings and hybrid search for improved development workflows.
Enables AI agents to access the Norwegian SSB API for statistical data.
Automates the searching, fetching, reading, and reference exploration of academic papers using an intelligent multi-source approach.
Provides coding agents with local, persistent memory, storing decisions, bugs, and context as Markdown for efficient retrieval.
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