一个MCP App将弹性可观测性的互动SRE工作流程直接带入克洛德,VS码等MCP相容的AI主机. 建于模式上下文协议上,具有交互的UI扩展,在对话中渲染出内含.

** 什么是MCP Apps? ** MCP Apps扩展了"模型背景协议",让工具服务器返回交互式HTML接口——仪表板,形式,可视化——在AI对话中渲染出. LLM 调用工具, 而不是仅仅返回文本,

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** 技术预览——未获得官方支持。 ** 这个项目是一份试验性的参考执行,为勘探和反馈而出版. 它不包含在弹性支持SLA中,可以不经通知而改变或中断,也不打算用于生产. 关于GitHub的文件问题;答复是最佳的。

□ 这有什么

该项目提供了6个交互式SRE工具,每个工具都有丰富的基于回放的UI,当克洛德(或另一个MCP主机)调用该工具时会使内入.

Elastic Observability MCP App

An MCP App that brings interactive SRE workflows for Elastic Observability directly into Claude, VS Code, and other MCP-compatible AI hosts. Built on the Model Context Protocol with interactive UI extensions that render inline in the conversation.

What are MCP Apps? MCP Apps extend the Model Context Protocol to let tool servers return interactive HTML interfaces — dashboards, forms, visualizations — that render inside the AI conversation. The LLM calls a tool, and instead of just returning text, an interactive UI appears alongside the response.

[!WARNING] Technical preview — not officially supported. This project is an experimental reference implementation published for exploration and feedback. It is not covered by Elastic support SLAs, may change or break without notice, and is not intended for production use. File issues on GitHub; responses are best-effort.

What This Does

This project provides six interactive SRE tools, each with a rich React-based UI that renders inline when Claude (or another MCP host) calls the tool. The Dependency column shows what each tool needs from your deployment — Universal tools work on any Elastic Observability cluster; the others require APM, ML, or Kubernetes telemetry.