将 CARTO MCP Server 和 Agent Skills 连接至 Databricks Genie Code，为其提供专门的地理空间分析、工作流及可视化能力。

Connect the CARTO MCP Server and Agent Skills to Databricks Genie Code and give it specialized geospatial analysis, workflows, and visualization.

近期，Databricks 一直在扩展其原生空间功能：包括空间数据类型、一套空间 SQL 函数库，以及 AI/BI 仪表板内的基础地图可视化。这为在湖仓架构中直接覆盖部分地理空间分析提供了坚实基础，但空间工作往往并不止步于此。空间分析正进一步深入企业各个层面。从未打开过映射工具的人也能提出空间问题并据此采取行动。网络规划师询问哪些服务区域存在重叠；风险分析师运行暴露度工作流程，并询问自上次运行以来发生了哪些变化。他们只需使用 CARTO 账户登录一次，随后分析结果便会主动呈现给他们。管理功能也在同一窗口内提供。CARTO 界面依然是平台工作的核心所在。变化在于，同样的操作被封装为工具，因此管理员可以要求智能体审查连接、添加人员、轮换凭证，或总结已构建的内容及其创建者。加载您所需的工具。选择“创建并加载工具”，如果您希望仅暴露部分工具接口，可以使用 glob 过滤器进行筛选。接下来，我们请求生成一张用于监控门店绩效的地图，该地图基于同一目录中的零售表构建，其中门店按类别着色、按营收大小显示，并包含一个类别组件、一个营收直方图，以及携带每家门店关键细节信息的弹出窗口。通过 MCP Server 和地图构建技能，智能体完成了整个地图构建工作，做出了通常需要经过一轮审核才能确定的正确制图决策，并返回了一个指向 CARTO Builder 中地图的链接，该地图随后可供分享或发布。不确定从何入手，或者还不是客户？申请演示，我们将向您展示如何将 Genie Code 打造为您的地理空间助手。MCP Server 赋予智能体构建地图、运行分析、编写工作流程以及管理 CARTO 账户的工具能力。Agent Skills 则赋予其妥善运用这些工具的判断力——即针对特定请求选择合适的工具，以及了解 CARTO 工作的常规做法。Javier 是 CARTO 的首席产品官，全面负责 CARTO 的产品组合、客户体验和创新路线图。他的职责涵盖完整的产品开发和客户体验周期。将 CARTO MCP Server 连接到 Microsoft Copilot Studio，即可在 Microsoft 365 环境中以自然语言方式为每个团队提供地图、应用和空间分析功能。我们邀请了七款前沿 AI 模型构建 deck.gl 地图，渲染了所有结果，并将五份提案带到了苏黎世的 Open Visualization Summit。以下是我们的收获，以及 deck.gl 对 CARTO 如此重要的原因。

Recently, Databricks has been scaling up its native spatial capabilities: spatial data types, a library of spatial SQL functions, and basic map visualizations inside AI/BI dashboards. That provides a solid basis to cover part of the geospatial analysis directly in the lakehouse, but it is not always where the spatial work ends. Spatial analysis reaches further into the company. Someone who has never opened a mapping tool can ask a spatial question and act on the answer. A network planner asks which service areas overlap. A risk analyst runs the exposure workflow and asks what moved since the last run. They sign in once with their CARTO account, and after that the analysis comes to them. Administration, available in the same window. The CARTO interface remains where platform work lives. What changes is that the same operations are exposed as tools, so an administrator can ask the agent to review connections, add people, rotate credentials, or summarize what has been built and by whom. Load the tools you want. Choose Create & load tools, and use a glob filter if you prefer to expose only part of the tool surface. Next we asked for a map to monitor store performance, built from a retail table in the same catalog, with stores colored by category and sized by revenue, a category widget, a revenue histogram, and popups carrying the details that matter per store. Working through the MCP Server and the map building skill, the agent took care of the whole map building work, made the right cartographic calls that usually take a round of review, and returned a link to a map in CARTO Builder that can then be shared or published. Not sure where to start, or not a customer yet? Request a demo and we will show you how to turn Genie Code into your geospatial assistant. The MCP Server gives the agent the tools to build maps, run analysis, author workflows and manage a CARTO account. The Agent Skills give it the judgment to use them well — which tool fits a given request, and how CARTO work is usually done. 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. Connect the CARTO MCP Server to Microsoft Copilot Studio and give every team maps, apps, and spatial analysis in plain language, inside Microsoft 365. We asked seven frontier AI models to build deck.gl maps, rendered every result, and took five proposals to the Open Visualization Summit in Zürich. What we learned, and why deck.gl matters so much to CARTO.