Discover our curated collection of MCP servers for data science & ml. Browse 5711servers and find the perfect MCPs for your needs.
Enables AI assistants to securely access, analyze, and visualize Oura Ring health data through a structured protocol.
Analyzes food descriptions to provide estimated nutritional information using OpenAI's models.
Provides advanced stock market analysis, trend identification, portfolio management, dividend tracking, sector analysis, and risk metrics through a Model Context Protocol (MCP) server.
Provides a versatile server for AI-powered customer service interactions, integrating with large language models and persisting conversation logs.
Indexes code repositories into PostgreSQL with pgvector for production-grade semantic code search tailored for AI coding assistants.
Provides tools and agents for solving linear and mixed-integer programming problems, translating natural language to LP JSON, and diagnosing infeasibility.
Analyzes resumes against job descriptions to identify skill gaps, missing keywords, and improvement opportunities using AI.
Provides an agentic interface for diagnosing Kubernetes cluster issues using natural language queries.
Integrates Jira and GitLab to enable AI agents to manage issues and branches across both platforms.
Integrates conversational AI with Metabase analytics, enabling large language models to directly interact with and manage data through the Metabase API.
Access AI-driven yacht marketplace insights, explore 25,000+ listings, and get expert sailing advice effortlessly.
Connects MCP clients like Claude Code to local LLMs running in LM Studio, allowing them to utilize a wide array of MCP tools.
Empowers large language models with privacy-focused web search, multi-source research analysis, and intelligent synthesis capabilities.
Empowers AI assistants to access and analyze comprehensive financial data, stock information, company fundamentals, and market insights.
Facilitates interactive chat with AI models, integrating document retrieval, command-based prompts, and extensible tools via the Model Context Protocol.
Integrate custom tools with agentic large language models and development environments through a unified protocol.
Integrates the Metabase analytics platform with AI assistants, enabling direct interaction with analytics data through the Model Context Protocol.
Provides a hands-on environment for exploring MCP functionality using a Python SDK and local LLM integration via Ollama.
Simplifies interactions with decentralized exchanges on the SEI blockchain, enabling complex DeFi operations through agentic commands.
Provides a standardized protocol for AI agents to access Stack Overflow's vast developer knowledge base.
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