Fleet Intelligence Server

MCP server for ACM / Multicluster Global Hub. Connect an LLM to your fleet and ask things like:

• How healthy is my fleet?
• Which clusters are unhealthy?
• Why is cluster-east unhealthy?

Everything is configured in one file: config.yaml.

Quick start

npm install
cp config.example.yaml config.yaml
npm run build
npm start

Server runs at http://127.0.0.1:3000/mcp (change host / port in config).

Config (config.yaml)

# Data source: kubernetes (ACM hub) or globalhub (Postgres)
source: kubernetes
url: ~/.kube/config

# MCP HTTP server
host: 127.0.0.1
port: 3000
name: fleet-intelligence-mcp-server

# Prometheus / Alertmanager — port-forward first (see config.example.yaml)
observability:
  prometheusUrl: http://127.0.0.1:9091
  alertmanagerUrl: http://127.0.0.1:9094

ACM hub

source: kubernetes
url: ~/.kube/config

Leave url empty for default kubeconfig or in-cluster config.

Global Hub

source: globalhub
url: postgres://readonly:password@host:5432/dbname

Get the postgres URL:

oc get secret multicluster-global-hub-storage \
  -n multicluster-global-hub \
  -o jsonpath='{.data.database_uri_with_readonlyuser}' | base64 -d

Connect Cursor

{
  "mcpServers": {
    "fleet-intelligence": {
      "url": "http://127.0.0.1:3000/mcp"
    }
  }
}

MCP tools

Tool	What it returns
list_clusters	All clusters with registration health
list_active_alerts	Firing alerts from Alertmanager
list_nodes	Nodes with Ready status, conditions, CPU/memory
cluster_observability	Full picture: nodes + metrics + alerts
fleet_health	Total / healthy / warning / critical / unknown counts
list_unhealthy_clusters	Unhealthy clusters with reasons
cluster_health	Registration health for one cluster
explain_cluster_health	Full condition data for LLM summarization

Prometheus port-forward (required for metrics)

kubectl port-forward -n openshift-monitoring svc/thanos-querier 9091:9091
kubectl port-forward -n openshift-monitoring svc/alertmanager-main 9094:9094

Then set observability.prometheusUrl and alertmanagerUrl in config.yaml.

Example prompts: example_prompts.md

License

Apache-2.0