data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9180개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Analyzes BirdNET-Pi and BirdWeather detections by cross-referencing them with eBird's database using natural language queries.
Provides a collection of specialized Model Context Protocol (MCP) servers for diverse use cases.
Integrates large language models with the MCP protocol.
Enables connection to IBM Informix data from Claude Desktop through CData JDBC Drivers using a read-only Model Context Protocol (MCP) server.
Enables interaction with the Upbit cryptocurrency exchange API for real-time market data, account management, and automated trading via Server-Sent Events (SSE).
Demonstrates integrating AI agents with local and remote tool execution via MCP and Ollama.
Automates the rapid generation of high-quality Next.js applications using AI-driven context engineering and a structured development methodology.
Enables real-time, server-pushed updates for AI model and tool communication within the Model Context Protocol using Server-Sent Events.
Provides access to Observe API functionality, OPAL query assistance, and troubleshooting runbooks for LLM models through a Model Context Protocol server.
Integrates Home Assistant with AI agents and other applications via Model Context Protocol (MCP) or a standalone HTTP REST API.
Enables AI assistants to manage and interact with your AirTrail flight tracking data.
Orchestrates a multi-candidate agentic coding loop, integrating patch generation, deterministic gates, and mandatory vision scoring to identify optimal solutions.
Facilitates AI assistants in searching and discovering fashion products from Klydo, a Gen-Z quick tech fashion commerce platform.
Provides a comprehensive set of 116 read-only Datadog tools to empower AI assistants across all observability pillars, ensuring data visibility without write access.
Automates the conversion of any apcore-based project into an MCP Server and OpenAI tool provider with zero code changes.
Manages a personal media library for AI agents and humans, tracking books, movies, music, TV, and anime across various platforms.
Scans, analyzes, and remediates Python AI agents for EU AI Act compliance directly within AI developer environments.
Access and manage academic literature from multiple sources, offering comprehensive search, citation, and full-text retrieval capabilities.
Integrates AI assistants with a comprehensive suite of 60 Czech and global healthcare data sources, including SUKL, MKN-10, PubMed, and ClinicalTrials.gov.
Provides deterministic knowledge retrieval for autonomous agents to ensure compliance with the EU AI Act during runtime.
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