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.
MotherDuck
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
DeepSeek
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Mongo
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
DB
Enables AI assistants to interact with multiple databases simultaneously through a unified interface.
BloodHound AI
Analyzes Active Directory attack paths using natural language queries via a BloodHound and Model Context Protocol (MCP) integration.
Deep Research
Conducts in-depth, iterative research on any topic using AI-powered search, web scraping, and source evaluation to generate comprehensive reports.
A-Stock Data
Provides A-share (China stock market) data to large language models via the Model Content Protocol (MCP).
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.
Reasoner
Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.
Chroma
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Zotero
Connects a Zotero research library with AI assistants to facilitate searching and discussing research papers.
PlugnPlai
Simplifies the integration of AI plugins and external tools into open-source large language models (LLMs).
GraphQL
Enables Large Language Models to interact with GraphQL APIs through schema introspection and query execution.
Weather
Enables AI assistants to retrieve and interpret real-time weather data via the Model Context Protocol.
Lemonade SDK
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Investor Agent
Provides financial insights and analysis to Large Language Models via a Model Context Protocol (MCP) server.
Sequential Thinking MAS
Enables complex problem-solving by leveraging a multi-agent system for deeper analysis and coordinated task execution.
GPT Researcher
Enables LLM applications to perform in-depth research through the MCP protocol.
BioMCP
Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.
ForeverVM
Securely executes stateful Python code in sandboxed environments designed to run indefinitely.
Scroll for more results...