Discover our curated collection of MCP servers for data science & ml. Browse 10519 servers and find the perfect MCPs for your needs.
Provides a Model Context Protocol (MCP) server for accessing Lightdash's API, enabling AI assistants to interact with Lightdash data.
Facilitates natural language interaction with Elasticsearch clusters via the Model Context Protocol.
Collects, analyzes, and manages AI use case data from diverse information sources.
Establishes a bridge between Model Context Protocol clients and local, OpenAI-compatible Large Language Model services.
Empowers local AI agents to provide intelligent responses and execute tools directly on your machine via a global CLI, ensuring privacy and local inference.
Automate the creation of AI-driven diagrams and prototypes in various formats, integrating advanced language models to meet specific requirements.
Provides an intelligent, agent-driven system for advanced data analysis and querying within Snowflake environments.
Exposes Databricks functionality as a Model Completion Protocol (MCP) server, enabling LLM-powered tools to interact with Databricks resources.
Enables AI assistants to access comprehensive n8n node documentation, properties, and operations via a Model Context Protocol server.
Integrates UiPath Robotic Process Automation (RPA) platform with Generative AI applications via the Model Context Protocol.
Provides a Model Context Protocol (MCP) server for integrating When2Work scheduling API data, making it accessible for AI assistants.
Generates customizable word clouds from text using AI, supporting various design options and secure data handling.
Connects Claude to Strava fitness data, enabling natural language queries about your training history.
Provides comprehensive real-time and historical weather intelligence, including forecasts, air quality, and marine conditions, through a suite of 10 specialized tools.
Integrates real-time weather information from AccuWeather into Model Context Protocol (MCP) clients and AI applications.
Routes calls from tools, CLI prompts, and dashboard interactions to local, OpenAI-compatible MLX model servers on Mac.
Enables cross-framework multi-agent collaboration by connecting diverse AI tools and models to shared, persistent conversation rooms.
Indexes Rust, Python, and TypeScript codebases into a structured property graph, resolving internal dependencies and enabling advanced queries for AI agents.
Minifies verbose command-line output for AI agents, providing compact, structured JSON to save tokens and highlight actionable data.
Automate AI-native, zero-config CI/CD pipelines directly on your local machine, integrated with AI agents for autonomous operation.
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