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Novita MCP Server

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list-gpu-instances

List and filter GPU instances on the Novita AI platform to manage resources by name, product, or status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageSizeNoNumber of instances to return,
pageNumberNoPage number to return, start from
nameNoFilter by the instance name
productNameNoFilter by the product name
statusNoFilter by the instance status

Implementation Reference

  • Handler function that constructs URL query parameters from input params, makes API request to /gpu/instances endpoint using novitaRequest helper, clears sensitive information, and returns the result as JSON-formatted text content.
    if (params.pageSize) queryParams.append("pageSize", params.pageSize.toString()); if (params.pageNumber) queryParams.append("pageNumber", params.pageNumber.toString()); if (params.name) queryParams.append("name", params.name); if (params.productName) queryParams.append("productName", params.productName); if (params.status) queryParams.append("status", params.status); const queryString = queryParams.toString() ? `?${queryParams.toString()}` : ""; const result = await novitaRequest(`/gpu/instances${queryString}`); clearSensitiveInfo(result); return { content: [ { type: "text", text: JSON.stringify(result, null, 2), }, ], }; });
  • Zod-based input schema defining optional parameters for pagination (pageSize, pageNumber), filtering by name, productName, and status.
    pageSize: z .number() .min(0) .default(10) .optional() .describe("Number of instances to return, "), pageNumber: z .number() .min(0) .default(1) .optional() .describe("Page number to return, start from "), name: z .string() .max(1024) .optional() .describe("Filter by the instance name"), productName: z .string() .optional() .describe("Filter by the product name"), status: z .enum(["running", "pulling", "exited", "resetting", "removed", "migrating", "freezing"]) .optional() .describe("Filter by the instance status"), }, async (params) => { // Construct query parameters const queryParams = new URLSearchParams();
  • src/tools.ts:62-115 (registration)
    Direct registration of the 'list-gpu-instances' tool on the MCP server within registerGPUInstanceTools function.
    server.tool("list-gpu-instances", { pageSize: z .number() .min(0) .default(10) .optional() .describe("Number of instances to return, "), pageNumber: z .number() .min(0) .default(1) .optional() .describe("Page number to return, start from "), name: z .string() .max(1024) .optional() .describe("Filter by the instance name"), productName: z .string() .optional() .describe("Filter by the product name"), status: z .enum(["running", "pulling", "exited", "resetting", "removed", "migrating", "freezing"]) .optional() .describe("Filter by the instance status"), }, async (params) => { // Construct query parameters const queryParams = new URLSearchParams(); if (params.pageSize) queryParams.append("pageSize", params.pageSize.toString()); if (params.pageNumber) queryParams.append("pageNumber", params.pageNumber.toString()); if (params.name) queryParams.append("name", params.name); if (params.productName) queryParams.append("productName", params.productName); if (params.status) queryParams.append("status", params.status); const queryString = queryParams.toString() ? `?${queryParams.toString()}` : ""; const result = await novitaRequest(`/gpu/instances${queryString}`); clearSensitiveInfo(result); return { content: [ { type: "text", text: JSON.stringify(result, null, 2), }, ], }; });
  • novitaRequest helper: Performs authenticated HTTP requests to the Novita AI GPU instance API, used by the tool handler to fetch the list of GPU instances.
    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; } }
  • clearSensitiveInfo helper: Removes sensitive fields like sshPassword from the API response data before returning it.
    export function clearSensitiveInfo(data: any) { if (data && data.instances) { data.instances = data.instances.map((instance: any) => ({ ...instance, sshPassword: undefined })); } }

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