Skip to main content
Glama

Ideogram MCP Server

test.ts1.68 kB
import { IdeogramClient } from "./ideogram-client.js"; async function main() { const apiKey = process.env.IDEOGRAM_API_KEY; if (!apiKey) { console.error("IDEOGRAM_API_KEY is not set"); process.exit(1); } const client = new IdeogramClient(apiKey); const params = { prompt: "A cute cat wearing sunglasses, digital art" }; try { // デフォルト保存先・ファイル名 const result = await client.generateImage(params); console.log("Result full:", result); // 返り血(返り値)の中身も全部表示!ギャルチェック✨ console.log("Test Success! Generated images:", result.data.map(d => d.filepath)); // 保存先・ファイル名を指定したパターン const customDir = "images"; const customBase = "my-cat"; const resultCustom = await client.generateImage( params, customDir, customBase ); console.log("Result (custom dir/name):", resultCustom); console.log( `Test Success! Custom saved images:`, resultCustom.data.map(d => d.filepath) ); // 横長+blur_maskテスト const wideParams = { prompt: "A beautiful panoramic landscape, digital art, magic cat, text 'Ideogram MCP Server'", aspect_ratio: "16x9" }; const resultWideBlur = await client.generateImage( wideParams, undefined, undefined, true // blur_mask ON ); console.log("Result (wide + blur):", resultWideBlur); console.log( `Test Success! Wide blurred images:`, resultWideBlur.data.map(d => d.filepath) ); } catch (err) { console.error("Test Failed:", err); process.exit(1); } } main();

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sunwood-ai-labs/ideagram-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server