What are the prerequisites to run K8s Mcp Server?
Docker (optional), Python 3.12 or higher, and the `uv` package manager are required.
@chinnareddy578
Basic information
K8s MCP Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"k8s-mcp-server": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"http://localhost:8081/mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
K8s Mcp Server is a Model Control Protocol (MCP) server for Kubernetes operations. It provides tools for managing deployments, pods, services, and more.
You can run it using Docker (docker pull chinnareddy578/k8s-mcp-server, then docker run -p 8080:8080) or directly with Python (create a virtual environment with uv venv .venv, activate it, install dependencies with uv pip install -e ., and run python src/main.py). Configure MCP clients like GitHub Copilot or Claude Desktop to point to http://localhost:8080 (or http://localhost:8081/sse for Claude Desktop) using the provided JSON configurations.
uv for Python environment management.Docker (optional), Python 3.12 or higher, and the `uv` package manager are required.
Pull the image with `docker pull chinnareddy578/k8s-mcp-server` and run the container with `docker run -p 8080:8080`.
In your Copilot settings, set the MCP server URL to `http://localhost:8080` and use the provided JSON configuration with `mcp-remote`.
Ensure the Docker container is running and the port is correctly mapped. Check with `docker ps`.
It provides tools for managing deployments, pods, services, and other Kubernetes resources.

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