data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 10258개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides sentiment analysis capabilities for Turkish language texts.
Provides a production-ready Model Context Protocol server for comprehensive music analysis and generation using the music21 library.
Provides a structured, standards-compliant API for serving machine learning metadata, service discovery, and ML content, enabling AI applications to efficiently discover model context and artifacts.
Provides real-time stock market data and financial insights through natural language queries.
Provides a comprehensive Retrieval-Augmented Generation (RAG) server, offering robust file management and vector memory capabilities for AI agents.
Provides a security-hardened and scalable foundational server framework for Model Context Protocol applications.
Integrates Model Context Protocol 2025-06-18 specification support seamlessly into Laravel applications, enhancing development with its native conventions.
Provides a Model Context Protocol (MCP) server for healthcare tools, facilitating interaction with FHIR resources on Google Cloud Healthcare API and public medical research APIs.
Enables the creation and deployment of sophisticated AI agents through natural language processing and intelligent automation.
Provides comprehensive code analysis, navigation, and quality assessment across over 25 programming languages for various development workflows.
Connects large language models like Claude and ChatGPT to the Tempo AI API for accessing fitness and wellness data.
Define complex spreadsheets declaratively using Python or YAML, then export them to ODS, XLSX, or PDF formats.
Provides an image editing service akin to OpenAI's, allowing text-based models to interpret and manipulate images through advanced processing and AI-powered functions.
Connect to the Fred database to query and explore economic data.
Manage structured, persistent reminders for AI agents with time, keyword, and condition triggers, priority escalation, and recurrence.
Generates physics-aware inline skating trick combinations, modeling moves as state transitions to ensure executable and naturally flowing sequences.
Provides AI agents with persistent, structured memory, enabling them to recall and learn across sessions.
Aggregate structural, chemical, and literature data from multiple public databases to evaluate druggable pockets on protein targets for computational protein design.
Ensures the integrity and efficiency of GitNexus across numerous repositories through automated checks, preventing caller issues, version discrepancies, and graph inconsistencies.
Enables AI agents to declaratively manage cloud infrastructure via Kubernetes using Crossplane.
Scroll for more results...