data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 5728개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides an MCP server in JavaScript to search and retrieve movie, TV show, and person information from The Movie Database (TMDB) for AI clients.
Provides security checks for domains, URLs, and IPs, integrating into Python applications and enriching LLM context with real-time threat insights.
Facilitates Retrieval Augmented Generation (RAG) using LlamaIndex, Gemini embeddings, and LanceDB for local knowledge storage.
Transcribes audio files and live microphone input into text using advanced AI models.
Provides AI assistants with access to unified financial data from various Open Banking sources, enabling comprehensive analysis and educational insights.
Provides real-time cross-chain bridge metrics for analyzing liquidity, transaction flows, and performance across blockchain networks.
Provides an MCP server to access Deepgram's advanced speech recognition and text-to-speech functionalities.
Connects Celery distributed task queues with the Model Context Protocol, enabling advanced task management and AI integration.
Integrates large language models with the MCP protocol.
Provides a Model Context Protocol (MCP) server implementation for Alibaba Cloud MaxCompute (ODPS).
Provides stock data services using Spring Boot and Spring AI.
Combines vector search, knowledge graphs, and web intelligence to enhance AI coordination and optimize performance.
Unifies AI development tools with secure OAuth, dynamic tool discovery, and seamless access for autonomous agents and coding assistants.
Enables connecting to Apache Hadoop Hive data from Claude Desktop through CData JDBC Drivers.
Scrape web content with high accuracy and flexibility for AI assistants.
Provides long-term memory for Large Language Models (LLMs) by implementing the Model Context Protocol (MCP).
Integrates OpenWeatherMap API to provide comprehensive weather data and forecasts for AI assistants.
Facilitates multimodal AI generation, editing, and video creation through Google's advanced Gemini, Imagen, and Veo models.
Collects, analyzes, and visualizes historical ATP tennis rankings data, offering a web interface, CLI tools, and AI integration.
Organizes, tests, and manages AI prompts with collections, dynamic variables, execution history, and Model Context Protocol (MCP) integration.
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