Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 3288servers and find the perfect MCPs for your needs.
RDKit Copilot
Provides large language models with seamless, agent-level access to RDKit functionalities through natural language, eliminating the need for coding.
Volatility
Enables memory forensics analysis using natural language by integrating the Volatility 3 framework with Large Language Models (LLMs) through the Model Context Protocol (MCP).
Codelogic
Leverages CodeLogic's software dependency data within AI programming assistants.
Atlan Agent Toolkit
Facilitates interaction with Atlan services for AI agents.
Trino
Enables seamless integration with Trino and Iceberg for advanced data exploration and querying.
Ollama Agent
Integrates Ollama with Model Context Protocol (MCP) servers, allowing AI models to interact with various tools through a unified interface.
Adk Gemma3
Builds AI agents leveraging Google ADK, MCP, and the Gemma 3 model for YouTube search functionality.
Semantic Scholar
Enables interaction with the Semantic Scholar API to search for papers, retrieve paper and author details, and fetch citations and references.
Kuzu
Provides access to Kuzu databases for Large Language Models (LLMs) by enabling schema inspection and query execution.
Alibaba Cloud DMS
Enables unified metadata access and cross-engine data querying for large language models across diverse database ecosystems.
Zuplo
Facilitates the creation of Model Context Protocol (MCP) servers with a fetch API-based TypeScript SDK.
Gemini DeepSearch
Automates multi-step web research using Google Gemini models and Google Search to synthesize information and produce citation-rich answers.
Matlab
Enables Large Language Models to write and execute MATLAB scripts for complex computations and simulations.
Fegis
Compiles YAML specifications into semantic LLM tools with structured memory and an emergent knowledge graph.
Zen
Integrates diverse AI models into Claude Desktop, empowering enhanced development and analytical capabilities.
ECharts
Dynamically generate visual charts and diagrams using Apache ECharts with AI-powered capabilities for data analysis.
WebScraping.AI
Extracts data from web pages using a Model Context Protocol (MCP) server implementation that integrates with WebScraping.AI.
Tushare
Facilitates intelligent stock data analysis through a Model Context Protocol (MCP) server.
Oura
Provides access to sleep, readiness, and resilience data from the Oura API for language model querying.
Gemini Thinking
Leverages Google's Gemini API to provide sequential thinking and problem-solving capabilities without code generation.
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