Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 6875servers and find the perfect MCPs for your needs.
Git Ingest
Reads GitHub repository structure and retrieves specified files, facilitating programmatic analysis of codebases.
Deep Research
Conducts in-depth, iterative research on any topic using AI-powered search, web scraping, and source evaluation to generate comprehensive reports.
DeepSeek
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Rhino
Connects Rhino 3D to AI Agents via the Model Context Protocol (MCP), enabling AI-assisted 3D modeling.
Sequential Thinking MAS
Enables complex problem-solving by leveraging a multi-agent system for deeper analysis and coordinated task execution.
Spring AI Examples
Provides practical code examples demonstrating the usage of Spring AI for various AI-related tasks.
Ebook
Enables natural language interaction with eBooks in EPUB and PDF formats through a Model Context Protocol (MCP) server.
Solon Ai
Enables Java AI application development for various scenarios, supporting LLM, Function Call, RAG, and more.
PDF Reader
Securely reads and extracts text, metadata, and page counts from PDF files (local or URL) for use by AI agents.
ImageSorcery
Empowers AI assistants with image processing capabilities such as cropping, resizing, object detection, and OCR through an MCP server.
Investor Agent
Provides financial insights and analysis to Large Language Models via a Model Context Protocol (MCP) server.
ClimateTraceKMP
Visualizes climate-related emission data sourced from ClimateTrace.org.
o3 Search
Enables AI-powered web search through an MCP server utilizing OpenAI's o3 model.
LangConnect
Provides a Streamlit-based Retrieval-Augmented Generation (RAG) client with vector search, comprehensive document management, Supabase authentication, and Model Context Protocol (MCP) integration for AI assistants.
Tinystruct
Empowers developers to create robust, efficient, and scalable web and CLI applications using a lightweight, modular Java framework with AI integration.
Claude Skills
Enables AI models and coding assistants to semantically search and retrieve Claude Agent Skills using vector embeddings and the Model Context Protocol.
Maa
Empowers AI assistants with robust Android device and Windows desktop automation capabilities through a standardized protocol.
Ruv-FANN
Provides a comprehensive neural intelligence framework for building, deploying, and orchestrating ephemeral, CPU-native AI solutions across diverse environments.
Mapbox
Provides AI agents and applications with seamless access to Mapbox's geospatial intelligence platform through the Model Context Protocol.
Cheat Engine Bridge
Connect AI agents directly to Cheat Engine, automating reverse engineering, pointer scanning, and memory analysis using natural language commands.
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