Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 3094servers and find the perfect MCPs for your needs.
TokenScope
Enables large language models to efficiently explore and understand codebases by providing token-aware directory exploration and file content viewing.
Fal
Provides a Model Context Protocol (MCP) server for seamless interaction with fal.ai's AI models and services.
Pokémon VGC Damage Calculator
Provides AI agents a standardized interface for performing Pokémon damage calculations.
Peer Review
Enables AI agents to collaborate with more capable LLMs for assistance and feedback.
China Weather
Retrieves real-time weather data for Chinese cities via the AMap Weather API.
Sentinel Core Agent
Orchestrates interactions between users, large language models, and a suite of tools for automation and information retrieval.
Binance
Enables large language models to access real-time and historical Bitcoin market data from Binance.
Crewai Claude
Facilitates the setup of multi-agent AI systems using the crewAI framework for effective collaboration on complex tasks.
GongRzhe JSON
Enables Large Language Models to interact with and manipulate JSON data through standardized tools.
Kablewy Financial Analysis
Provides financial analysis capabilities through access to real-time and historical stock data and company fundamentals.
Manages email interactions by sending and previewing messages directly from your inbox.
LangGraph Client
Implements LangGraph to interact with a PostgreSQL database via an MCP server.
Airy
Interact with databases using natural language queries powered by AI.
Bundles
Demonstrates SUSE AI capabilities through a set of pre-configured bundles.
Gemini Server
Exposes Google's Gemini model capabilities as MCP tools for integration with other LLMs and systems.
Ai-Publications
Provides a curated collection of articles and guides on AI, Generative AI, and Machine Learning.
NOAA Tides And Currents
Provides access to the NOAA Tides and Currents API for retrieving real-time and historical data, tide predictions, currents, meteorological data, and sun/moon information.
Custom Context
Structures and extracts data from text according to JSON templates.
CodeRAG
Analyzes codebases and builds a comprehensive graph database using Neo4j to enable AI-powered code understanding and assistance.
YouTube
Enables AI language models to interact with YouTube content through a standardized interface.
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