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

• Docker
• Python 3.12 or higher
• uv package manager

Building and Running the MCP Server

Using Docker

1. Pull the Docker image:

   docker pull chinnareddy578/k8s-mcp-server

2. Run the Docker container:

   docker run -p 8080:8080 chinnareddy578/k8s-mcp-server

   The server will be accessible at http://localhost:8080.

Using Python 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

Using the MCP Server with MCP Clients

GitHub Copilot

1. Configure GitHub Copilot:

   • Open your GitHub Copilot settings.
   • Set the MCP server URL to http://localhost:8080.

2. Use GitHub Copilot:

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

   GitHub Copilot MCP Client Configuration:

   {
       "servers": {
           "k8s-mcp-server": {
               "command": "npx",
               "args": [
                 "-y",
                 "mcp-remote",
                 "http://localhost:8080/sse"
               ]
           }
       }
   }

Claude Desktop

1. Configure Claude Desktop:

   • Open Claude Desktop settings.
   • Set the MCP server URL to http://localhost:8080.

2. Use Claude Desktop:

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

   Claude Desktop MCP Client Configuration:

   {
       "mcpServers": {
           "k8s-mcp-server": {
               "command": "npx",
               "args": [
                 "-y",
                 "mcp-remote",
                 "http://localhost:8081/sse"
               ]
           }
       }
   }

Other MCP Clients

For other MCP clients, follow these general steps:

1. Configure the client:

   • Set the MCP server URL to http://localhost:8080.

2. Use the client:

   • The client will now use the MCP server for code suggestions and completions.

Troubleshooting

• Connection Issues: Ensure the Docker container is running and the port is correctly mapped. Check with:

  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.