data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 10258개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Accesses the Gallica API from the Bibliothèque nationale de France (BnF) to generate sequential research reports.
Analyzes text documents by counting words and characters.
Enables natural language querying of Google Earth Engine datasets, task execution, and visualization within chat interfaces.
Connects AI models to creative applications through a standardized Model Context Protocol.
Provides real-time Caltrain departure information using GTFS data via the Model Context Protocol.
Provides a local, offline memory server for AI agents, leveraging SQLite with advanced search capabilities.
Connect your Discogs music collection to an LLM client to query, analyze, and get recommendations via natural language.
Provides a Model Context Protocol (MCP) server to integrate Joe Sandbox Cloud's advanced analysis capabilities with MCP-compatible applications.
Provides seamless programmatic access to Malaysia's official government open data catalogue.
Integrates with Apple Notes to create a personal memory system for AI, enabling recall and saving of information from macOS.
Integrates AI assistants with Qlik Sense applications, providing comprehensive access to detailed Qlik data through a Model Context Protocol server.
Integrates Inoreader with Claude Desktop, enabling intelligent RSS feed management and analysis directly within your AI assistant.
Implements a comprehensive service with 56 medical calculators spanning diverse clinical specialties.
Leverage Volcano Engine Seedream 4.0 API to generate images from text, images, or fused inputs, offering versatile image creation capabilities.
Provides AI assistants with access to all open data APIs from the Swedish National Agency for Education (Skolverket), tailored for large language models.
Automate Word document creation, editing, and management through natural language instructions using an integrated AI agent.
Automates the creation of complex mathematical and scientific animations from natural language descriptions using the Manim library.
Establishes a persistent memory server for AI coding agents, enabling them to retain and access critical knowledge across different sessions.
Manages a persistent knowledge graph for AI-assisted workflows, indexing conversations, projects, and intellectual work to provide context for AI agents.
Optimizes context windows for AI coding assistants by intelligently summarizing raw tool outputs, dramatically reducing token usage.
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