Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Enables Large Language Models (LLMs) to interact with MongoDB databases using natural language.
Provides natural language processing capabilities using the Model Context Protocol within a FastMCP application.
Provides real-time satellite tracking data, including TLE data, positions, and pass predictions, via an MCP server.
Provides a Model Context Protocol server for processing Web Ontology Language (OWL) templates generated by the Robot tool.
Connects Google Data Catalog data to large language models (LLMs) and AI clients through a Model Context Protocol (MCP) interface.
Enables large language models to query live SAP ByDesign data through a Model Context Protocol interface.
Provides a modular REST API for calculating various medical scores and indices, designed for integration with large language models.
Provides real-time clock and timezone information for large language models.
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Connects AI assistants with the Apollo.io API to search for accounts, enrich data, and retrieve contact information.
Provides a modular, production-ready Model Context Protocol server offering calculator and file operation tools for LangGraph agents and other MCP clients.
Enables AI Copilot tools to securely interact with SSH and PostgreSQL resources through policy-driven access controls.
Automates the generation of time-blocked daily task lists by intelligently prioritizing calendar events, new tasks, and outstanding items.
Provides intelligent answers to questions about GitHub documentation using local LLMs and vector embeddings.
Integrates business applications with Large Language Models using the Model Context Protocol (MCP) in a production-ready FastAPI application.
Implements a protocol-compliant MCP server, offering JSON configuration for fast setup and a plugin-based architecture for custom AI agents and orchestration.
Provides a production-ready multi-voice text-to-speech library and MCP server for AI assistants, enabling real-time streaming, SSML, emotional speech, and sound effects.
Extracts key information from mortgage documents and answers policy questions using AI-powered retrieval-augmented generation.
Exposes Granola meeting intelligence as structured, queryable Model Context Protocol (MCP) resources for AI agents and automation pipelines.
Establishes a Model Context Protocol (MCP) server to integrate Volkswagen Group vehicles with AI assistants.
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