Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 4984servers and find the perfect MCPs for your needs.
Jean Memory
Provides a secure, unified memory layer that enables AI applications to retain context and preferences across multiple platforms.
Wxflows
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
Livebook Tools
Enhance Livebook development with AI code editing, model context protocol servers, and command-line execution of Livebooks.
Ollama
Enables seamless integration between Ollama's local LLM models and Model Context Protocol (MCP) compatible applications.
Modex
Augments AI models with tools, resources, and prompts using Clojure.
HubSpot
Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.
Google Workspace
Provides authenticated access to Google Workspace APIs, offering integrated Gmail, Calendar, and Drive functionality.
Hugging Face
Provides a flexible server and web application for deploying Hugging Face Hub API and search endpoints.
Code Assistant
Aids with code-related tasks using an LLM-powered autonomous coding assistant.
Chronulus Agents
Enables chatting with Chronulus AI forecasting and prediction agents within Claude.
Reddit Buddy
Empowers AI assistants to seamlessly browse Reddit content, search for posts, and analyze user interactions without complex setup.
ChatExcel
Provides an intelligent server for Excel file analysis, data processing, code execution, and interactive chart generation using the Model Context Protocol.
Tableau
Facilitates the development and configuration of AI applications that integrate with Tableau Cloud and Server.
Tool Kit
Provides an agentic abstraction layer for building high precision vertical AI agents in Python.
Xtquantai
Integrates AI assistants with the xtquant quantitative trading platform via the Model Context Protocol (MCP), providing AI access to trading data and functionalities.
Stata
Integrates Stata with VS Code and Cursor IDE, enabling command execution, real-time output, and AI assistant integration.
Memory
Provides knowledge graph management capabilities for large language models, enabling persistent memory across conversations.
Streamable Http
Provides example implementations of Model Context Protocol (MCP) Streamable HTTP client and server in Python and TypeScript.
Turbular
Enables Language Models (LLMs) to seamlessly connect to and retrieve data from various databases through a unified API.
Google Sheets
Enables AI agents to directly interact with and manipulate Google Sheets spreadsheets.
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