An MCP App that brings interactive blue-team security operations 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.
This project provides six interactive security operations tools, each with a rich React-based UI that renders inline when Claude (or another MCP host) calls the tool:
| Tool | What It Does |
|---|---|
| Alert Triage | Fetch, filter, and triage security alerts with AI verdict cards, process tree, and network investigation |
| Attack Discovery | AI-powered correlated attack chain analysis with confidence scoring, entity risk, and MITRE mapping |
| Case Management | Create, search, and manage SOC investigation cases with AI-assisted actions |
| Detection Rules | Browse, tune, and manage detection rules with KQL search and noisy rules analysis |
| Threat Hunt | ES|QL workbench with clickable entities and a D3 investigation graph |
| Sample Data | Generate ECS security events for demos across 4 attack chain scenarios |
See docs/features.md for a full breakdown of each tool's capabilities.
Tip
Just want to try it? Download elastic-security-mcp-app.mcpb and double-click it. No Node.js, no cloning, no config files.
Claude Desktop handles the rest — you'll be prompted for your Elasticsearch URL and API key during install. That's it.
For other hosts (Cursor, VS Code, Claude Code) or building from source, see Installation below.
When a user asks Claude to triage alerts or run a threat hunt, Claude calls a model-facing tool on this server. The tool returns a compact text summary to Claude and an interactive React UI that renders inline in the conversation. The UI then calls app-only tools directly for all subsequent interactions — keeping the LLM context small while the UI has full data access.
See docs/architecture.md for details on how views are built, how the UI communicates with the server, and key design decisions.
The skills/ directory contains Claude Skills — SKILL.md files that teach Claude when and how to use the tools. See docs/setup-skills.md for installation instructions.
| Guide | Description |
|---|---|
| Add to Claude Desktop | Install the MCP app via one-click .mcpb or manual config |
| Add to Cursor | Connect the MCP app via npx or a locally running server |
| Add to VS Code | Connect the MCP app via npx or a locally running server |
| Add to Claude Code | Register the MCP app via the claude mcp add CLI |
| Add to Claude.ai | Expose the MCP app via a cloudflared tunnel |
| Build and run locally | Build the MCP server from source and run it on your machine |
| Install skills | Install skills via npx, local clone, or zip upload |
npm run dev # Watch mode
npm run typecheck # Type-check only
npm run build:views # Build views only
npm run build:server # Build server only- Elastic Agent Skills — SOC triage methodology and tool patterns
- MCP Apps Specification — Interactive UI extensions for MCP
Elastic-2.0