data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6274개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides AI systems with code structure analysis capabilities using Abstract Syntax Trees (ASTs) and Abstract Semantic Graphs (ASGs).
Manages a distributed, graph-based memory bank for AI agents and IDEs, offering contextualized data storage and retrieval via the MCP protocol.
Maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts leveraging Large Language Models.
Provides real-time data and insights from the Hyperliquid perp DEX for use in bots, dashboards, and analytics.
Facilitates smart trading through integration with AI clients like Claude and Cursor.
Builds searchable knowledge bases from multiple data sources by loading data into a Qdrant vector database with MCP server support.
Enables LLM agents to interact with Industry Foundation Classes (IFC) files.
Provides isolated sandbox environments with hardware-level isolation for AI agents and other untrusted code execution.
Enables programmatic creation and control of GNU Radio flowgraphs through a Machine Control Protocol (MCP) server.
Enables AI systems to interact with data sources and tools through the Model Context Protocol (MCP), providing fast, reliable RAG powered by Vectara.
Enables programmatic interaction with Label Studio instances for managing labeling projects, tasks, and predictions.
Enables data scientists to easily set up Model Context Protocol (MCP) servers for seamless integration of Python code with LLMs like Claude.
Provides real-time threat intelligence and malware sample metadata by autonomously interfacing with MalwareBazaar.
Structures tool APIs from Model Context Protocol (MCP) servers into a Neo4j graph database, enabling LLMs to dynamically retrieve relevant tools.
Builds AI agents leveraging Google ADK, MCP, and the Gemma 3 model for YouTube search functionality.
Enables LLMs to interact directly with Rhino and Grasshopper for .3dm file analysis, 3D modeling, and automated GHPython script generation.
Enables AI assistance to interact with and modify PowerPoint and Excel files through Model Context Protocol.
Demonstrates a client-server implementation using the Model Context Protocol (MCP) for connecting large language models with tools and data.
Analyzes, lints, and converts SQL queries between different dialects.
Enables AI agents to discover, connect to, query, and understand PostgreSQL databases using the Model Context Protocol.
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