data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 8944개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enhances AI models with web search and content extraction capabilities through Python-based APIs.
Facilitates connecting large language models to live Quickbase data through a Model Context Protocol (MCP) server.
Provides access to Oura Ring health and fitness data through the Oura API v2 for consumption by Model Context Protocol (MCP) clients.
Provides intelligent image compression services and comprehensive metadata analysis with high-performance batch processing for AI assistants.
Enables non-interactive execution of Octave scripts via the Model Context Protocol (MCP).
Provides an all-in-one suite of tools for local and remote Large Language Models, enabling multi-engine web search, secure web page fetching and summarization, internal document reading, academic lookups, and calculations.
Enables AI agents to automatically discover, fetch, and process open civic datasets from Dresden's OpenData Portal.
Integrates GraphQL APIs with the Model Context Protocol (MCP) for streamlined data exchange and AI system connectivity.
Retrieves Brazilian addresses using a CEP (postal code) and formats the information for language models.
Enables AI assistants to search Wikimedia Commons for images, providing detailed metadata and visual thumbnail composites.
Orchestrates automated, AI-driven Tabletop Role-Playing Game adventures using Large Language Models as the game master.
Provides a persistent Julia REPL session via STDIO, dramatically reducing 'Time to First X' overhead for AI coding assistants.
Extends AI assistants like Claude with a diverse array of powerful tools for tasks ranging from mathematical animation rendering to data analysis and food ordering.
Provides AI agents with persistent, contextual long-term memory, bridging stateless LLMs with local SQLite persistence for automated cross-session architectural context and project preferences.
Provides a unified notification system for AI agents requiring human interaction to streamline agentic workflows.
Exposes LocalStack-managed AWS services as AI-agent tools, enabling LLMs and AI agents to interact with local AWS infrastructure during development and testing.
Automates early-stage literature review and academic paper analysis by integrating PDF parsing with AI.
Fetches YouTube video transcripts and offers optional summarization capabilities for quick content digestion.
Verifies digital credentials using Ed25519 signatures, RFC 8785 canonicalization, and AI-native verification via the IECC protocol.
Enables AI agents to interact with the TRON blockchain, facilitating queries for balances, tokens, blocks, and the creation of unsigned transactions.
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