MCP Imagenate MCP server

mcp-imagenate

An MCP server for image generation using multiple providers: Google Gemini, OpenAI (gpt-image), BFL FLUX, and Reve — plus short video clips through Google Gemini Omni.

Providers & Models

Google Gemini (Nano Banana)

Google Gemini Omni (video)

Uses the same GEMINIAPIKEY. Exposed through a separate generatevideo tool — see Tool: generatevideo.

OpenAI

These are the only models here that can return a transparent background — see Transparent backgrounds.

BFL FLUX

Reve

This provider calls Reve's v2/image/create endpoint. latest is the only version alias v2 exposes, and it is what the response reports back, so there is no dated build to pin to. Do not confuse it with the v1 endpoints, which still serve the older reve-create@20250915 model.

Things worth knowing before sending Reve a prompt written for another provider:

output. Exact dimensions vary between requests: 16:9 came back as both 5408x3072 and 5376x3072, and 3:4 as 3456x4800.

• resolution is ignored — Reve has no size parameter and returns its own large

before spending a request.

• Prompts are capped at 4,000 characters, and this provider rejects longer ones

is rejected before any of the files are read.

• inputImages become v2 references. Reve accepts at most eight; a longer list

or WebP), which is detected from the bytes rather than assumed.

• The saved file's extension follows the format Reve actually returned (PNG, JPEG

Give any proxy or job runner in front of it a timeout of at least 120 seconds.

• A generation costs 150 credits (about $0.20) and typically takes 40-80 seconds.

Requirements

• Node.js 20+
• At least one provider API key

Installation

npx mcp-imagenate

Or install globally:

npm install -g mcp-imagenate

Setup

Set API keys for the providers you want to use:

# Google Gemini (at least one)
export GEMINI_API_KEY=your_key_here
# or
export NANO_BANANA_API_KEY=your_key_here

Shortened. The full README is on GitHub.