list_shapes
Retrieve available compute shapes with CPU, memory, network, and GPU specifications for an Oracle Cloud Infrastructure compartment to support resource selection.
Instructions
List all compute shapes available in a compartment.
Args:
compartment_id: OCID of the compartment
Returns:
List of shapes with CPU, memory, network, and GPU specificationsInput Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| compartment_id | Yes |
Implementation Reference
- mcp_server_oci/mcp_server.py:1360-1376 (handler)MCP tool handler for 'list_shapes'. This async function is decorated with @mcp.tool(name='list_shapes') and calls the underlying list_shapes helper with the compute client and compartment_id.
@mcp.tool(name="list_shapes") @mcp_tool_wrapper( start_msg="Listing compute shapes in compartment {compartment_id}...", error_prefix="Error listing shapes" ) async def mcp_list_shapes(ctx: Context, compartment_id: str) -> List[Dict[str, Any]]: """ List all compute shapes available in a compartment. Args: compartment_id: OCID of the compartment Returns: List of shapes with CPU, memory, network, and GPU specifications """ return list_shapes(oci_clients["compute"], compartment_id) - Core helper function that implements the OCI API call to list shapes, formats the response into a list of dictionaries with detailed shape specifications, and handles errors.
def list_shapes(compute_client: oci.core.ComputeClient, compartment_id: str) -> List[Dict[str, Any]]: """ List all shapes available in a compartment. Args: compute_client: OCI Compute client compartment_id: OCID of the compartment Returns: List of shapes with their details """ try: shapes_response = oci.pagination.list_call_get_all_results( compute_client.list_shapes, compartment_id ) shapes = [] for shape in shapes_response.data: shapes.append({ "shape": shape.shape, "processor_description": shape.processor_description, "ocpus": shape.ocpus, "memory_in_gbs": shape.memory_in_gbs, "networking_bandwidth_in_gbps": shape.networking_bandwidth_in_gbps, "max_vnic_attachments": shape.max_vnic_attachments, "gpus": shape.gpus, "gpu_description": shape.gpu_description, "local_disks": shape.local_disks, "local_disks_total_size_in_gbs": shape.local_disks_total_size_in_gbs, "local_disk_description": shape.local_disk_description, "rdma_ports": shape.rdma_ports, "rdma_bandwidth_in_gbps": shape.rdma_bandwidth_in_gbps, "is_live_migration_supported": shape.is_live_migration_supported, "ocpu_options": { "min": shape.ocpu_options.min if shape.ocpu_options else None, "max": shape.ocpu_options.max if shape.ocpu_options else None, } if shape.ocpu_options else None, "memory_options": { "min_in_g_bs": shape.memory_options.min_in_g_bs if shape.memory_options else None, "max_in_g_bs": shape.memory_options.max_in_g_bs if shape.memory_options else None, "default_per_ocpu_in_g_bs": shape.memory_options.default_per_ocpu_in_g_bs if shape.memory_options else None, "min_per_ocpu_in_g_bs": shape.memory_options.min_per_ocpu_in_g_bs if shape.memory_options else None, "max_per_ocpu_in_g_bs": shape.memory_options.max_per_ocpu_in_g_bs if shape.memory_options else None, } if shape.memory_options else None, "networking_bandwidth_options": { "min_in_gbps": shape.networking_bandwidth_options.min_in_gbps if shape.networking_bandwidth_options else None, "max_in_gbps": shape.networking_bandwidth_options.max_in_gbps if shape.networking_bandwidth_options else None, "default_per_ocpu_in_gbps": shape.networking_bandwidth_options.default_per_ocpu_in_gbps if shape.networking_bandwidth_options else None, } if shape.networking_bandwidth_options else None, }) logger.info(f"Found {len(shapes)} shapes in compartment {compartment_id}") return shapes except Exception as e: logger.exception(f"Error listing shapes: {e}") raise - mcp_server_oci/mcp_server.py:1360-1360 (registration)MCP tool registration decorator specifying the tool name as 'list_shapes'.
@mcp.tool(name="list_shapes")