get_components_by_canvas
Retrieve components for a specific canvas in threat modeling to analyze security elements and relationships.
Instructions
Get components for a specific canvas
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| canvas_id | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- src/devici_mcp_server/server.py:137-142 (handler)The main handler function for the 'get_components_by_canvas' MCP tool. Decorated with @mcp.tool() for automatic registration and schema inference. It creates an API client instance and delegates to the client's get_components_by_canvas method, returning the result as a string.
@mcp.tool() async def get_components_by_canvas(canvas_id: str) -> str: """Get components for a specific canvas""" async with create_client_from_env() as client: result = await client.get_components_by_canvas(canvas_id) return str(result) - Supporting API client method that performs the actual HTTP GET request to the Devici API endpoint /components/canvas/{canvas_id} to retrieve components for the given canvas ID.
async def get_components_by_canvas(self, canvas_id: str) -> Dict[str, Any]: """Get all components for specific canvas.""" return await self._make_request("GET", f"/components/canvas/{canvas_id}") - src/devici_mcp_server/server.py:137-137 (registration)The @mcp.tool() decorator registers the function as an MCP tool named 'get_components_by_canvas', inferring input schema from parameters and docstring.
@mcp.tool()