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Kubernetes MCP Server

Kubernetes MCP Server

A powerful MCP (Model Context Protocol) server for Kubernetes operations that allows you to manage your Kubernetes clusters using natural language through AI assistants.

🌟 Features

  • � Resource Listing

    • List pods, services, deployments, and namespaces

    • Get detailed resource information

  • 🔍 Monitoring & Debugging

    • View pod logs with customizable line counts

    • Describe pod details for troubleshooting

    • Get cluster events for debugging

  • ⚡ Operations

    • Port-forward services to local ports

    • Scale deployments up or down

    • Execute kubectl commands through natural language

  • 🎯 Developer Focused

    • Designed for common Kubernetes developer workflows

    • Easy to extend with additional tools

    • Comprehensive error handling

� Available Tools

Tool

Description

Parameters

list-pods

List pods in a namespace

namespace

(optional)

list-services

List services in a namespace

namespace

(optional)

list-deployments

List deployments in a namespace

namespace

(optional)

list-namespaces

List all namespaces

None

describe-pod

Get detailed pod information

pod

(required),

namespace

(optional)

get-logs

Get pod logs

pod

(required),

namespace

(optional),

lines

(optional),

follow

(optional)

port-forward

Port forward a service

service

,

localPort

,

targetPort

(required),

namespace

(optional)

scale-deployment

Scale a deployment

deployment

,

replicas

(required),

namespace

(optional)

get-events

Get cluster events

namespace

(optional)

📋 Requirements

  • Node.js v18+

  • kubectl installed and configured to access your cluster

  • @modelcontextprotocol/cli (optional, for testing)

# Verify kubectl works kubectl get pods # Install MCP CLI (optional) npm install -g @modelcontextprotocol/cli

🔧 Installation

# Clone or download this repository cd kube-mcp # Install dependencies npm install # Run tests to verify setup node test.js

🏃 Running the Server

# Start the MCP server npm start # Or run directly node server.js

The server runs on stdio transport and will output: Kubernetes MCP server running on stdio

🔌 Connecting to MCP Clients

Claude Desktop

Add to your claude_desktop_config.json:

{ "mcpServers": { "kubernetes": { "command": "node", "args": ["/absolute/path/to/kube-mcp/server.js"] } } }

Other MCP Clients

For clients that support MCP, configure them to connect to this server using:

  • Command: node

  • Args: ["/path/to/server.js"]

  • Transport: stdio

💡 Example Usage

Once connected to an MCP-compatible client, you can use natural language like:

  • "List all pods in the default namespace"

  • "Show me the logs for the nginx pod"

  • "Port forward the web service on port 8080 to my local port 3000"

  • "Scale the api deployment to 3 replicas"

  • "What events happened recently in the kube-system namespace?"

🧪 Testing

Run the test script to verify everything is working:

node test.js

This will check:

  • ✅ kubectl availability

  • ✅ Server syntax validation

  • ✅ Server startup capability

  • ✅ Cluster connectivity

🛠️ Development

To add new tools:

  1. Add the tool definition to the tools array in server.js

  2. Add a corresponding case in the CallToolRequestSchema handler

  3. Implement the kubectl command and response formatting

  4. Test with node test.js

⚠️ Security Notes

  • This server executes kubectl commands on your system

  • Ensure your kubectl context is set to the correct cluster

  • Be cautious when scaling deployments or port-forwarding in production

  • Review all operations before execution

📜 License

MIT License - feel free to modify and distribute

🤝 Contributing

Contributions are welcome! Please feel free to submit issues and enhancement requests.

Restart your MCP-enabled client (Cursor AI, Claude Desktop, VS Code MCP extension, etc.)

Now you can issue natural commands like:

  • “Show me all pods in namespace payments”

  • “Port forward postgres service to local 5432”

  • “Get logs from api-pod”

Deploy Server
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security - not tested
F
license - not found
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quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.

  1. 🌟 Features
    1. � Available Tools
      1. 📋 Requirements
        1. 🔧 Installation
          1. 🏃 Running the Server
            1. 🔌 Connecting to MCP Clients
              1. Claude Desktop
              2. Other MCP Clients
            2. 💡 Example Usage
              1. 🧪 Testing
                1. 🛠️ Development
                  1. ⚠️ Security Notes
                    1. 📜 License
                      1. 🤝 Contributing

                        MCP directory API

                        We provide all the information about MCP servers via our MCP API.

                        curl -X GET 'https://glama.ai/api/mcp/v1/servers/thekaranpargaie/kube-mcp'

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