What are the prerequisites for using Kubescape Mcp?
You must have the kubescape CLI installed (see https://kubescape.io/docs/getting-started/) and the uv package manager installed on your machine.
@mohdhaji87
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"kubescapeserver": {
"command": "uv",
"args": [
"--directory",
"/Users/haji/mcp-servers/kubescapeserver",
"run",
"server.py"
]
}
}
}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.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Kubescape Mcp is an MCP (Model Context Protocol) server that exposes kubescape CLI commands as tools for AI assistants. It is designed for users of Claude Desktop or Cursor who want to perform Kubernetes security scans—such as image vulnerability scanning—directly through natural language prompts. The server requires the kubescape CLI and uv to be installed beforehand.
First, install the kubescape CLI and uv. Then add the following JSON configuration to your MCP settings in Claude Desktop or Cursor, adjusting the directory path to point to your local copy of the server:
{
"mcpServers": {
"kubescapeserver": {
"command": "uv",
"args": ["--directory", "/Users/haji/mcp-servers/kubescapeserver", "run", "server.py"]
}
}
}
After configuration, the server’s tools become available and can be invoked via prompts (e.g., “scan image nginx”).
You must have the kubescape CLI installed (see https://kubescape.io/docs/getting-started/) and the uv package manager installed on your machine.
Add the JSON configuration block shown in the README to the MCP settings of Claude Desktop or Cursor, replacing the directory path with the actual location of the server script.
It exposes 4 tools that are direct wrappers around kubescape CLI commands. The README does not list their names explicitly.
The README shows that if an image test is not found, the model suggests switching to a public image scan (e.g., nginx) instead.
After an image scan, AI suggestions are provided for specific frameworks including NSA and MITRE ATT&CK. The README mentions “other specific frameworks” but does not list an exhaustive set.

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