EKS Metrics Server

Python MCP server for querying Amazon EKS cluster metrics.

Implemented now:

• Kubernetes API server /metrics, equivalent to kubectl get --raw /metrics
• Metric filtering by exact metric name, metric name regex, and labels
• A source selector that currently supports api_server and reserves cloudwatch

CloudWatch metric collection is intentionally left as a future extension.

Install

python3.11 -m pip install -e .

The MCP Python SDK requires Python 3.10 or newer. If python points to Python 3.9, use python3.11 or another Python 3.10+ interpreter in both installation and MCP client configuration.

The server uses the Kubernetes Python client. Authentication follows the same configuration sources as kubectl:

• In-cluster service account credentials when running inside Kubernetes
• Local kubeconfig from KUBECONFIG or ~/.kube/config
• Optional per-call kube_context and kubeconfig_path tool arguments

The Kubernetes identity must be allowed to call the API server non-resource URL /metrics.

Run

eks-metrics-mcp-server

or:

python3.11 -m eks_metrics_mcp_server.server

Codex MCP config

[mcp_servers.eks-metrics]
enabled = true
command = "python3.11"
args = ["-m", "eks_metrics_mcp_server.server"]
cwd = "/root/eks-metrics-server/eks-metrics-mcp-server"

[mcp_servers.eks-metrics.env]
PYTHONPATH = "/root/eks-metrics-server/eks-metrics-mcp-server/src"

MCP Tools

get_eks_metrics

Fetch metrics from the selected source.

Important arguments:

• source: api_server or cloudwatch; only api_server is implemented
• metric_name: exact Prometheus metric name
• metric_name_pattern: regular expression for metric names
• label_selectors: label key/value filters
• limit: maximum returned samples
• include_raw: include original Prometheus sample line
• kube_context: kubeconfig context to use
• kubeconfig_path: kubeconfig path to use

Example metric names from Kubernetes API server metrics include apiserver_request_total, apiserver_request_duration_seconds_bucket, and apiserver_current_inflight_requests.

list_api_server_metric_names

Return metric names available from /metrics, including type/help metadata and sample counts.

Kubernetes RBAC

For an in-cluster deployment, bind a service account to a role that can read the /metrics non-resource URL:

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: eks-metrics-mcp-api-server-metrics
rules:
  - nonResourceURLs:
      - /metrics
    verbs:
      - get
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: eks-metrics-mcp-api-server-metrics
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: eks-metrics-mcp-api-server-metrics
subjects:
  - kind: ServiceAccount
    name: eks-metrics-mcp
    namespace: default