Skip to main content
Glama

add_node_label

Add or update labels on Kubernetes nodes to organize and manage cluster resources effectively. This tool modifies node metadata for improved resource allocation and operational control.

Instructions

Add or update a label to a node.

Args: context_name: The Kubernetes context name node_name: The name of the node to modify label_key: The label key to add label_value: The label value to set

Returns: JSON string containing the updated node labels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
context_nameYes
node_nameYes
label_keyYes
label_valueYes

Implementation Reference

  • The handler function for the 'add_node_label' tool. Decorated with @mcp.tool() for automatic registration in the MCP server. It reads the current node, updates or adds the specified label, patches the node via Kubernetes CoreV1Api, and returns the updated labels as JSON.
    @mcp.tool() @use_current_context def add_node_label(context_name: str, node_name: str, label_key: str, label_value: str): """ Add or update a label to a node. Args: context_name: The Kubernetes context name node_name: The name of the node to modify label_key: The label key to add label_value: The label value to set Returns: JSON string containing the updated node labels """ core_v1: CoreV1Api = get_api_clients(context_name)["core"] # Get the current node node = core_v1.read_node(node_name) # Prepare the patch if not node.metadata.labels: node.metadata.labels = {} # Update the labels labels = dict(node.metadata.labels) labels[label_key] = label_value # Apply the patch body = { "metadata": { "labels": labels } } patched_node = core_v1.patch_node(node_name, body) result = { "name": patched_node.metadata.name, "labels": patched_node.metadata.labels } return json.dumps(result)
  • tools/node.py:96-96 (registration)
    The @mcp.tool() decorator registers the add_node_label function as an MCP tool.
    @mcp.tool()

Latest Blog Posts

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/bourbonkk/k8s-pilot'

If you have feedback or need assistance with the MCP directory API, please join our Discord server