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Kubernetes Monitoring MCP

Model Context Protocol Integration

Overview

Provides a read-only interface for querying Kubernetes clusters, enabling detailed retrieval of information about namespaces, pods, nodes, deployments, services, and events for monitoring and troubleshooting.

Kubernetes Monitoring

Provides a read-only interface for querying Kubernetes clusters, enabling detailed retrieval of information about namespaces, pods, nodes, deployments, services, and events for monitoring and troubleshooting.

Installation Instructions


README: https://github.com/vlttnv/k8s-mcp

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k8s-mcp

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A Python-based, read-only Model Context Protocol (MCP) server for Kubernetes clusters that exposes a comprehensive API to retrieve cluster information and diagnose issues.

Example chat using Claude

Installation

Prerequisites

  • Python 3.8+
  • Access to a Kubernetes cluster (via kubeconfig or in-cluster configuration)
  • Required Python packages (see dependencies in pyproject.toml)
  • uv - https://github.com/astral-sh/uv
# To install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# Clone the repository
git clone git@github.com:vlttnv/k8s-mcp.git
cd k8s-mcp

# Install dependencies
uv venv
source .venv/bin/activate
uv sync

If using Claude configure open your Claude for Desktop App configuration at ~/Library/Application Support/Claude/claude_desktop_config.json in a text editor. Make sure to create the file if it doesn’t exist.

code ~/Library/Application\ Support/Claude/claude_desktop_config.json
{
    "mcpServers": {
        "k8s-mcp": {
            "command": "uv",
            "args": [
                "--directory",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/k8s-mcp",
                "run",
                "server.py"
            ]
        }
    }
}

You may need to put the full path to the uv executable in the command field. You can get this by running which uv on MacOS/Linux or where uv on Windows.

Configuration

The application automatically tries two methods to connect to your Kubernetes cluster:

  1. Kubeconfig File: Uses your local kubeconfig file (typically located at ~/.kube/config)
  2. In-Cluster Configuration: If running inside a Kubernetes pod, uses the service account token

No additional configuration is required if your kubeconfig is properly set up or if you're running inside a cluster with appropriate RBAC permissions.

Usage

Examples

Here are some useful example prompts you can ask Claude about your Kubernetes cluster and its resources:

General Cluster Status

  • "What's the overall health of my cluster?"
  • "Show me all namespaces in my cluster"
  • "What nodes are available in my cluster and what's their status?"
  • "How is resource utilization across my nodes?"

Pods and Deployments

  • "List all pods in the production namespace"
  • "Are there any pods in CrashLoopBackOff state?"
  • "Show me pods with high restart counts"
  • "List all deployments across all namespaces"
  • "What deployments are failing to progress?"

Debugging Issues

  • "Why is my pod in the staging namespace failing?"
  • "Get the YAML configuration for the service in the production namespace"
  • "Show me recent events in the default namespace"
  • "Are there any pods stuck in Pending state?"
  • "What's causing ImagePullBackOff errors in my cluster?"

Resource Management

  • "Show me the resource consumption of nodes in my cluster"
  • "Are there any orphaned resources I should clean up?"
  • "List all services in the production namespace"
  • "Compare resource requests between staging and production"

Specific Resource Inspection

  • "Show me the config for the coredns deployment in kube-system"
  • "Get details of the reverse-proxy service in staging"
  • "What containers are running in the pod xyz?"
  • "Show me the logs for the failing pod"

API Reference

Namespaces

  • get_namespaces(): List all available namespaces in the cluster

Pods

  • list_pods(namespace=None): List all pods, optionally filtered by namespace
  • failed_pods(): List all pods in Failed or Error state
  • pending_pods(): List all pods in Pending state with reasons
  • high_restart_pods(restart_threshold=5): Find pods with restart counts above threshold

Nodes

  • list_nodes(): List all nodes and their status
  • node_capacity(): Show available capacity on all nodes

Deployments & Services

  • list_deployments(namespace=None): List all deployments
  • list_services(namespace=None): List all services
  • list_events(namespace=None): List all events

Resource Management

  • orphaned_resources(): List resources without owner references
  • get_resource_yaml(namespace, resource_type, resource_name): Get YAML configuration for a specific resource

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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