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RHACS MCP Server

by dmc5179
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TypeScript
Remote

RHACS MCP Server

Servidor MCP (Model Context Protocol) para la API de Red Hat Advanced Cluster Security for Kubernetes.

Proporciona acceso LLM a los 69 servicios de la API de RHACS (361 endpoints) mediante un patrón de proxy dinámico — 6 meta-herramientas que permiten a un LLM descubrir, inspeccionar y llamar a cualquier endpoint de RHACS.

Herramientas

Herramienta

Descripción

rhacs_list_services

Enumera los 69 servicios de la API con recuentos de endpoints

rhacs_list_endpoints

Enumera los endpoints de un servicio específico

rhacs_get_endpoint_details

Obtiene la especificación completa de parámetros de un endpoint

rhacs_get_model

Busca definiciones del modelo de datos (campos, enums)

rhacs_search_endpoints

Búsqueda por palabras clave en todos los endpoints

rhacs_call_api

Llama a un endpoint de la API de RHACS Central

Las 5 primeras herramientas funcionan sin conexión usando la especificación de API incluida. Solo rhacs_call_api requiere una conexión activa con RHACS Central.

Related MCP server: Red Hat Lightspeed MCP

Inicio rápido

# Install and build
npm install
npm run build

# Run (discovery tools work without env vars)
npm start

# With RHACS Central access
ROX_ENDPOINT=https://central.example.com:443 \
ROX_API_TOKEN=your-token \
npm start

Contenedor

# Build
./build.sh

# Run
podman run -i --rm \
  -e ROX_ENDPOINT=https://central.example.com:443 \
  -e ROX_API_TOKEN=your-token \
  rhacs-mcp

Documentación

Estructura del proyecto

src/
  index.ts              # MCP server entry point
  api-client.ts         # HTTP client (auth, TLS, errors)
  registry.ts           # API spec loader and indexer
  types.ts              # TypeScript interfaces
  tools/                # 6 MCP tool implementations
api_spec/               # RHACS 4.10 API spec (69 services, 900 models)
docs/                   # Documentation
Containerfile           # Multi-stage UBI9 container build
podman-compose.yml      # Local testing config

Licencia

Ver LICENSE.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

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