data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7071개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables large language models to access and query live Act-On data using natural language, leveraging CData JDBC Drivers.
Retrieves user geolocation information for integration with large language models via the Model Context Protocol.
Provides a comprehensive set of tools for accessing, searching, and managing personal and team internal knowledge repositories.
Provides real-time weather information and forecasts via an AI-powered conversational interface, integrating OpenAI's GPT model with a Model Context Protocol server.
Provides an MCP server environment for real-time event streaming and callable tools, designed to facilitate structured data processing for AI models.
Provides virtual try-on capabilities via a FastMCP server that integrates with the Replicate API.
Provides advanced vector store operations, document search, and information retrieval through a Model Context Protocol (MCP) interface.
Offers a comprehensive open-source collection of AI projects, Model Context Protocol (MCP) servers, and extensive learning resources.
Transforms unstructured resume text from JSON input into a structured JSON output using an AI model.
Enables AI tooling to seamlessly connect with ROS2 nodes, topics, and services using the Model Context Protocol over stdio.
Provides AI developers with seamless access to Chainlink's decentralized oracle network services across various blockchain ecosystems.
Scrapes webpages using Playwright to extract clean Markdown, designed for integration with AI chat prompts.
Enhances LLM context with Retrieval-Augmented Generation by ingesting and searching across various document formats.
Integrates conversational AI with warehouse-native analytics, enabling natural language querying and exploration of data warehouses.
Generate high-quality images rapidly from text prompts using an intuitive web interface.
Obtain collective insights from multiple frontier LLMs simultaneously, featuring peer review and synthesis for complex queries.
Manages RAG-enabled memory with a PostgreSQL/Supabase backend, providing knowledge graph, document management, and semantic search capabilities for AI applications.
Enables AI agents and applications to control and monitor Universal Robots through a standardized Model Context Protocol interface.
Exposes a .NET REST API for managing books and categories to AI models using the Model Context Protocol (MCP).
Provides a local-first, assistant-agnostic persistent memory engine for AI agents, featuring advanced hybrid retrieval and neuroscience-inspired memory management.
Scroll for more results...