malloydata/publisher

马洛伊出版社

Malloy 的分析引擎

一个为人工智能时代打造的后现代数据栈。 一个数据模型，通过MCP和REST为AI代理、应用程序和BI工具提供。

由 Credible 创建并维护，该公司是 AI 分析引擎背后的团队。

人工智能代理：先读 AGENTS.md（原始规则：https://raw.githubusercontent.com/malloydata/publisher/main/AGENTS.md）。 内容包括启动服务器、通过MCP连接、捆绑技能以及包格式。获取原始文件，不是本页摘要。 想在未安装的情况下学习技能，请阅读 https://unpkg.com/@malloy-publisher/skills@latest/skills/malloy-getting-started/SKILL.md。使用 shell，npx -y @malloy-publisher/skills@latest install 会将所有技能复制到该项目中。

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60秒的演示——在你的IDE中用Malloy技能建模，使用Publisher，构建数据应用，按计划实现，并进行分析。观看视频以获取播放控制。

建模、查询引擎、物质化、访问控制和API——你用来组装的各个部分 来自五个项目——作为一个服务器发货，假设第一个构建者或消费者是 特工。

Malloy Publisher

The Analytics Engine for Malloy

A post modern data stack — built for the AI era. One data model, served over MCP and REST to AI agents, applications, and BI tools.

Created and maintained by Credible, the company behind the AI Analytics Engine.

AI agents: read AGENTS.md first (raw: https://raw.githubusercontent.com/malloydata/publisher/main/AGENTS.md). It covers starting the server, connecting over MCP, the bundled skills, and the package format. Fetch the raw file, not a summary of this page. To learn the skills with nothing installed, read https://unpkg.com/@malloy-publisher/skills@latest/skills/malloy-getting-started/SKILL.md. With a shell, npx -y @malloy-publisher/skills@latest install copies them all into this project.

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A 60-second walkthrough — model in your IDE with the Malloy skills, serve with Publisher, build a data app, materialize on a schedule, and analyze. Watch the video for playback controls.

Modeling, a query engine, materialization, access control, and an API — the pieces you used to assemble from five projects — ship as one server, built assuming the first builder or consumer is an agent.