delete_cluster
Remove a Dataproc cluster to manage Google Cloud resources by specifying cluster name, project ID, and region parameters.
Instructions
Delete a Dataproc cluster.
Args:
cluster_name: Name of the cluster to delete
project_id: Google Cloud project ID (optional, uses gcloud config default)
region: Dataproc region (optional, uses gcloud config default)Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cluster_name | Yes | ||
| project_id | No | ||
| region | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- MCP tool handler for 'delete_cluster'. This is the main entrypoint for the tool, decorated with @mcp.tool() for registration. It handles input validation via type hints, resolves defaults, and delegates to the DataprocClient.
@mcp.tool() async def delete_cluster( cluster_name: str, project_id: str | None = None, region: str | None = None ) -> str: """Delete a Dataproc cluster. Args: cluster_name: Name of the cluster to delete project_id: Google Cloud project ID (optional, uses gcloud config default) region: Dataproc region (optional, uses gcloud config default) """ resolved = resolve_project_and_region(project_id, region) if isinstance(resolved, str): # Error message return resolved project_id, region = resolved client = DataprocClient() try: result = await client.delete_cluster(project_id, region, cluster_name) return str(result) except Exception as e: logger.error("Failed to delete cluster", error=str(e)) return f"Error: {str(e)}" - Core implementation of cluster deletion in the DataprocClient class. This method constructs the DeleteClusterRequest and calls the Google Cloud Dataproc ClusterControllerClient.delete_cluster API via a thread executor.
async def delete_cluster( self, project_id: str, region: str, cluster_name: str ) -> dict[str, Any]: """Delete a Dataproc cluster.""" try: loop = asyncio.get_event_loop() client = self._get_cluster_client(region) request = types.DeleteClusterRequest( project_id=project_id, region=region, cluster_name=cluster_name ) operation = await loop.run_in_executor(None, client.delete_cluster, request) operation_name = getattr(operation, "name", str(operation)) return { "operation_name": operation_name, "cluster_name": cluster_name, "status": "DELETING", "message": f"Cluster deletion initiated. Operation: {operation_name}", } except Exception as e: logger.error("Failed to delete cluster", error=str(e)) raise