K8s Mcp Server

K8s MCP Server

This project is a Model Control Protocol (MCP) server for Kubernetes operations. It provides tools for managing deployments, pods, services, and more.

Prerequisites

• Python 3.12 or higher
• uv package manager
• Minikube (for local Kubernetes development)
• Docker (optional, for containerized deployment)

Running the MCP Server

Primary Method: Running Directly

1. Create a virtual environment:

   uv venv .venv
   

2. Activate the virtual environment:

   • On macOS/Linux:

     source .venv/bin/activate
     

   • On Windows:

     .venv\Scripts\activate
     

3. Install dependencies:

   uv pip install -e .
   

4. Run the server:

   python src/main.py
   

Alternative Method: Using Docker (Optional)

1. Pull the Docker image:

   docker pull chinnareddy578/k8s-mcp-server
   

2. Run the Docker container:

   docker run -it \
     -v ${HOME}/.kube:/root/.kube:ro \
     -v ${HOME}/.minikube:/root/.minikube:ro \
     chinnareddy578/k8s-mcp-server
   

Using the MCP Server with MCP Clients

GitHub Copilot

1. Configure GitHub Copilot:

   • Open your GitHub Copilot settings.
   • Add the following configuration:

   {
       "servers": {
           "k8s-mcp-server": {
               "command": "python",
               "args": [
                   "src/main.py"
               ]
           }
       }
   }
   

   Alternatively, if you prefer using Docker:

   {
       "servers": {
           "k8s-mcp-server": {
               "command": "docker",
               "args": [
                   "run",
                   "-i",
                   "--rm",
                   "--init",
                   "-e", "PYTHONUNBUFFERED=1",
                   "-v", "${HOME}/.kube:/root/.kube:ro",
                   "-v", "${HOME}/.minikube:/root/.minikube:ro",
                   "chinnareddy578/k8s-mcp-server"
               ]
           }
       }
   }
   

2. Use GitHub Copilot:

   • GitHub Copilot will now use the MCP server for code suggestions and completions.

Claude Desktop

1. Configure Claude Desktop:

   • Open Claude Desktop settings.
   • Add the following configuration:

   {
       "mcpServers": {
           "k8s-mcp-server": {
               "command": "python",
               "args": [
                   "src/main.py"
               ]
           }
       }
   }
   

   Alternatively, if you prefer using Docker:

   {
       "mcpServers": {
           "k8s-mcp-server": {
               "command": "docker",
               "args": [
                   "run",
                   "-i",
                   "--rm",
                   "--init",
                   "-e", "PYTHONUNBUFFERED=1",
                   "-v", "${HOME}/.kube:/root/.kube:ro",
                   "-v", "${HOME}/.minikube:/root/.minikube:ro",
                   "chinnareddy578/k8s-mcp-server"
               ]
           }
       }
   }
   

2. Use Claude Desktop:

   • Claude Desktop will now use the MCP server for code suggestions and completions.

Troubleshooting

• Kubernetes Configuration: Make sure Minikube is running and your kubeconfig is properly set up:

  minikube status
  minikube kubectl -- get pods
  

• Connection Issues: If using Docker, ensure the container is running and has access to your Kubernetes configuration:

  docker ps
  

• Tool Not Found: Verify that the tool is registered in your MCP server and the name matches exactly.

License

This project is licensed under the MIT License - see the LICENSE file for details.