Ideogram MCP Server

If you already use Ideogram, the ideogram mcp server is the piece that lets your assistant work with it directly. Production-grade Ideogram MCP server for AI image generation integration with Claude Desktop, Cursor, and VS Code.

What the server does

A production-grade Model Context Protocol (MCP) server that provides seamless integration between LLM applications (Claude Desktop, Cursor, VS Code) and the Ideogram AI image generation API. Powered by Ideogram V3, it offers 10 tools for complete image generation, editing, and analysis workflows.

• Image Generation — - Generate high-quality AI images from text prompts using Ideogram V3
• Image Editing — - Mask-based inpainting to edit specific parts of images (V3 API)
• Image Description — - Analyze images and generate detailed text descriptions
• Image Upscaling — - Enhance image resolution with guided upscaling controls
• Image Remixing — - Transform images with new prompts while preserving original characteristics
• Image Reframing — - Extend images to new resolutions via intelligent outpainting

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• Prerequisites — The Prerequisites tool exposed by this server
• Installation — The Installation tool exposed by this server
• Configuration — The Configuration tool exposed by this server
• ideogram_generate — // With all options { prompt: "A cute cat wearing a wizard hat", aspect_ratio: "16x9", // 15 ratios: 1x1, 16x9, 9x16, 4x3, 3x4, etc. num_images: 4
• ideogram_edit — Edit specific parts of existing images using mask-based inpainting (V3 API)
• ideogram_describe — The ideogram_describe tool exposed by this server
• ideogram_upscale — The ideogram_upscale tool exposed by this server
• ideogram_remix — The ideogram_remix tool exposed by this server
• ideogram_reframe — Extend images to new resolutions via intelligent outpainting
• ideogram_replace_background — Replace image backgrounds while preserving foreground subjects
• ideogram_generate_async — The ideogram_generate_async tool exposed by this server
• ideogram_get_prediction — The ideogram_get_prediction tool exposed by this server

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Credentials and setup notes

Configuration is passed through the environment: IDEOGRAM_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

• Node.js 18+ - An Ideogram API key

Where it fits

Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Ideogram's toolset — Prerequisites, Installation, Configuration and 10 more — is a fair guide to whether it matches your workflow. It is maintained by takeshijuan; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 13 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Ideogram.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.