delete-gpu-instance
Delete GPU instances on the Novita AI platform to manage resources and control costs. Specify the instance ID after confirming details to remove unused compute resources.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| instanceId | Yes | ID of the instance to delete. Before calling the MCP tool to delete the instance, MUST show me the details of the instance to help me identify it, including id, name, etc. |
Implementation Reference
- src/tools.ts:248-260 (handler)The handler function that executes the deletion logic by making a POST request to the Novita API's /gpu/instance/delete endpoint using the provided instanceId and returns the formatted result.
}, async (params) => { const result = await novitaRequest(`/gpu/instance/delete`, "POST", { instanceId: params.instanceId, }); return { content: [ { type: "text", text: JSON.stringify(result, null, 2), }, ], }; }); - src/tools.ts:245-247 (schema)Input schema using Zod, defining the required 'instanceId' as a string with description.
instanceId: z .string() .describe("ID of the instance to delete. Before calling the MCP tool to delete the instance, MUST show me the details of the instance to help me identify it, including id, name, etc."), - src/tools.ts:244-260 (registration)Registers the 'delete-gpu-instance' tool on the MCP server within the registerGPUInstanceTools function, specifying the input schema and inline handler.
server.tool("delete-gpu-instance", { instanceId: z .string() .describe("ID of the instance to delete. Before calling the MCP tool to delete the instance, MUST show me the details of the instance to help me identify it, including id, name, etc."), }, async (params) => { const result = await novitaRequest(`/gpu/instance/delete`, "POST", { instanceId: params.instanceId, }); return { content: [ { type: "text", text: JSON.stringify(result, null, 2), }, ], }; }); - src/utils.ts:15-55 (helper)Shared utility function used by the handler (and other tools) to make authenticated API requests to the Novita.ai GPU instance management endpoints.
export async function novitaRequest( endpoint: string, method: string = "GET", body: any = null ) { // Base URL for Novita AI API const API_BASE_URL = "https://api.novita.ai/gpu-instance/openapi/v1"; // Get API key from environment variable const API_KEY = process.env.NOVITA_API_KEY; const url = `${API_BASE_URL}${endpoint}`; const headers = { Authorization: `Bearer ${API_KEY}`, "Content-Type": "application/json", }; const options: any = { method, headers, }; if (body && (method === "POST" || method === "PATCH")) { options.body = JSON.stringify(body); } try { const response = await fetch(url, options); if (!response.ok) { const errorText = await response.text(); throw new Error(`Novita AI API Error: ${response.status} - ${errorText}`); } // Some endpoints might not return JSON const contentType = response.headers.get("content-type"); if (contentType && contentType.includes("application/json")) { return await response.json(); } return { success: true, status: response.status }; } catch (error) { console.error("Error calling Novita AI API:", error); throw error; } }