Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Enables AI assistants to understand and interact with large Oracle databases by providing targeted, contextual schema information.
Enables AI agents to control and play Pokémon NDS games through an MCP server.
Provides AI agents with a streamlined Nushell environment, offering comprehensive system interaction, structured data handling, and background task management through a minimal set of powerful tools.
Facilitates AI agent interaction with a food delivery application's data and actions through the Model Context Protocol.
Enables interaction with Google Drive and Google Sheets through a Model Context Protocol (MCP) server.
Analyze external assets to extract detailed information based on various AI-driven analysis types.
Aggregates real-time trending topics and hot search data from over 30 major platforms through unified RESTful and WebSocket APIs.
Enables cryptocurrency data queries through a Model Context Protocol server, interacting with the CoinGecko API.
Provides a server for creating and managing terminal sessions, enabling AI agents to interact with terminal environments programmatically.
Provides Large Language Models with streamlined access to open data from the Swedish Government Offices and Parliament.
Provides AI agents with fast access to verified EVM chain information sourced from Chainlist.org.
Bridges the gap between large language models (LLMs) and existing RESTful business systems by providing a generic Model Context Protocol (MCP) server.
Connects SAP SuccessFactors data to LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.
Integrates Gmail with Large Language Model (LLM) processing capabilities via a Model Context Protocol (MCP) server.
Provides tools for interacting with the Artemis API and generating formulas for crypto data analysis.
Accesses Morpho protocol vault data across multiple blockchain networks for LLM integration.
Exposes Tally data through a Model Context Protocol (MCP) interface, enabling Large Language Models (LLMs) to query live Tally data using natural language.
Provides AI assistants with seamless access to perfume collection data, enabling discovery and direct purchasing.
Enables AI assistants to host and interact with Model Context Protocol prompts and tools directly on Databricks Apps.
Provides an MCP server to access and analyze Canadian statistical data from Statistics Canada.
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