Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 4413servers and find the perfect MCPs for your needs.
ChainGPT
Integrates ChainGPT capabilities into AI agents for accessing crypto-related information.
CoinGecko
Enables cryptocurrency data queries through a Model Context Protocol server, interacting with the CoinGecko API.
Waldzell Metagames
Provides a Model Context Protocol (MCP) server offering a comprehensive library of game-theoretic workflows and problem-solving frameworks for AI-assisted development.
Memory
Provides persistent knowledge graph-based memory capabilities for Large Language Models.
Fetch
Enables LLMs to retrieve and process content from web pages by converting HTML to markdown.
Pubmed
Provides an API to access the PubMed database, allowing users to search articles, retrieve metadata, and download PMC PDFs.
RAG & Code Validation
Empowers AI agents to learn from the web and validate their generated code against a knowledge base, effectively preventing hallucinations.
Civitai
Enables AI assistants to browse, search, and discover AI models, creators, and generated content from Civitai via the Model Context Protocol.
USGS Water
Retrieve real-time water data including stream flow, gage height, and temperature from USGS monitoring stations.
Agentic CI/CD
Automates GitLab CI/CD workflows using an AI-powered multi-agent system that interprets natural language commands.
StatCan API
Provides an MCP server to access and analyze Canadian statistical data from Statistics Canada.
Health & Fitness Coach
Provides a comprehensive AI-powered fitness tracking application that integrates with intelligent AI assistants via the Model Context Protocol (MCP).
Cross-LLM
Provides a unified Model Context Protocol server to access and combine responses from multiple Large Language Model APIs, including ChatGPT, Claude, and DeepSeek.
EIPs
Provides semantically related Ethereum Improvement Proposals (EIPs) to AI agents.
Tools
Offers a diverse collection of development tools and code samples spanning C++, C, .Net, TypeScript, and Python.
Fred
Accesses and analyzes Federal Reserve Economic Data (FRED) through a Model Context Protocol (MCP) server.
Mcpcap
Enables Large Language Models to read and analyze network packet captures, providing structured JSON responses about network traffic.
FaceTron
Provides a high-performance face embedding server utilizing ONNX Runtime for scalable face recognition applications.
Jina AI Reader
Provides a Model Context Protocol (MCP) server implementation for the Jina.ai Reader API.
Stock Analysis
Provides access to real-time and historical Indian stock data using the Yahoo Finance API.
Scroll for more results...