Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 4411servers and find the perfect MCPs for your needs.
Product Management System
Manages product inventory with advanced features, PostgreSQL backend, Docker containerization, and multi-platform AI integrations.
Shopify by CData
Connects Claude Desktop to Shopify data through CData JDBC Drivers, enabling natural language queries.
Snowflake by CData
Enables connecting to Snowflake data from applications like Claude Desktop via a read-only Model Context Protocol (MCP) interface.
ZT PII Agent
Identifies and categorizes personally identifiable information (PII) within data.
NOAA Tides and Currents
Provides tools for interacting with the NOAA Tides and Currents API using the FastMCP framework.
Food
Provides comprehensive search for food products, including pricing and nutritional data, for AI agents.
XrayDB
Provides a Model Context Protocol server to access X-ray properties of elements.
Quasar
Executes code written in OpenQASM format for quantum computations.
JinaAI
Extracts clean, LLM-ready content from any URL using Jina AI's Reader API for intelligent web reading, delivered as a Model Context Protocol server.
ServiceNow by CData
Connects Claude Desktop to ServiceNow data through CData JDBC Drivers.
DovizApp
Provides real-time and historical currency exchange rates, cryptocurrency rates, and an interactive chat interface for currency information.
Datasette
Provides read-only access to Datasette databases for AI assistants via the Model Context Protocol.
Banana
Provides a unified Docker package containing 14 diverse Model Context Protocol servers for AI model integration.
ZenFeed
Enhance RSS feeds with AI to deliver personalized content and real-time monitoring.
Ntropy
Enriches banking data using the Ntropy API.
TuningSearch
Provides TuningSearch API access for large language models, enabling free Google search capabilities.
Model Context
Enables the application of Model-Context-Protocol concepts through an agent-based programming approach.
AI Agents
Implements AI-powered agents that interact with a multi-channel processing (MCP) server for intelligent tasks and automation.
AI Book Agent
Empowers AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation.
Agent
Facilitates local Model Context Protocol (MCP) server-client interactions, enabling agentic workflows.
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