本文介绍 CARTO for Agents 如何与 Snowflake Cortex Code 及 Snowflake Intelligence 集成，从而在 Snowflake 环境中实现完整的智能体地理信息系统（Agentic GIS）、地图、空间工作流及空间应用。
How CARTO for Agents integrates with Snowflake Cortex Code and Snowflake Intelligence to bring full agentic GIS, maps, workflows, and spatial apps inside your Snowflake environment.
CARTO for Agents 是一款产品界面，使任意编码智能体（coding agent）均可代表您的团队操作 CARTO 平台。它由以下三个核心组件构成：这三个组件被设计为协同工作。您的编码智能体安装各项技能（Skills），调用命令行接口（CLI）操作平台，并连接 MCP Server 以渲染交互式地图或执行您团队构建的、具备确定性的分析流程。Cortex Code 的本地 CLI 在您的开发环境中运行，桥接您的 Snowflake 账户，全程处于您的安全边界内，并继承您既有的治理策略。这正是 CARTO for Agents 所针对部署的理想环境。您已配置的治理策略在整个闭环中持续生效，CARTO 与 Cortex Code 均无需额外构建并行的访问层。表层高效迅捷，底层依托 Snowflake 治理。 Javier 担任 CARTO 首席产品官（Chief Product Officer），在全球范围内全面负责 CARTO 的产品组合、客户体验及创新路线图。其职责覆盖完整的产品开发周期与客户体验全链路。 公共部门机构通常已部署 Oracle 的空间引擎。CARTO 将其转化为自助式 AI 智能体，使团队无需排队等待即可即时获取答案。 AI 智能体的能力仅与其对您数据的理解深度相当。CARTO 为 AI 智能体引入语义模型，并提供其他任何图层均无法提供的空间上下文。 企业团队为何从 Esri ArcGIS 迁移至云原生 CARTO，以及 AI 智能体如何端到端、分步骤完成整个迁移过程。
CARTO for Agents is the product surface that lets any coding agent operate the CARTO platform on behalf of your team. It has three main pieces: These three pieces are designed to work together. Your coding agent installs the Skills, calls the CLI to operate the platform, and reaches the MCP Server to render interactive maps or run the analytical procedures your teams have built to be deterministic. Cortex Code's local CLI bridges your development environment with your Snowflake account, operating inside your perimeter and inheriting your governance as it works. That's exactly the environment CARTO for Agents was designed to slot into. The governance you've already configured stays in force throughout the loop, with neither CARTO nor Cortex Code needing a parallel access layer. Speed at the surface, Snowflake governance underneath. Javier is CARTO's Chief Product Officer and is globally responsible for CARTO’s product portfolio, customer experience, and innovation roadmap. Javier's responsibilities span the complete product development and customer experience cycle. Public sector agencies already have Oracle's spatial engine. CARTO turns it into self-service AI Agents, giving teams instant answers without a queue. AI Agents are only as good as their understanding of your data. CARTO brings semantic models to AI Agents, with spatial context no other layer provides. Why enterprise teams move from Esri ArcGIS to cloud-native CARTO, and how an AI agent handles the migration end to end, step by step.