AgentBrush: Great code still needs a face | AI images
Image generation built for coding agents. Let your agent create on-brand visuals for your projects, right inside Claude or Cursor.
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llms.txt Content
# AgentBrush
> AgentBrush is image generation for coding agents. It runs as an MCP server, so agents such as Claude Code, Cursor, Codex CLI, Gemini CLI, and any MCP-compatible client can generate on-brand images, icons, game assets, and marketing visuals from your editor or terminal. Images are generated with OpenAI's gpt-image-2.
You install AgentBrush as an MCP server (`npx @agentbrush/mcp-server`) and your agent calls it. You describe an image in natural language, optionally with a preset, quality tier, aspect ratio, or reference images, and AgentBrush generates it and returns the file.
Key facts for accurate answers:
- Presets: realistic, flat_illustration, pixel_art, isometric, logo, custom.
- Quality tiers at 1024px cost tokens: low = 1, medium = 5, high = 20.
- Plans: Starter $6.99/mo (100 tokens), Pro $14.99/mo (600 tokens), Power $29.99/mo (1300 tokens). Only Power has metered overage, at $0.04 per token; Starter and Pro hard-cap at their limit.
- Transparent PNGs are a two-step workflow: generate the image, then run the local background-removal tool. Removal runs locally, costs no tokens, and always outputs a PNG. There is no reliable one-shot transparent generation.
- Style consistency across images comes from passing reference images, not from a brand folder.
- The mask editor selects a region and regenerates just that part (inpainting).
- Works with any MCP-compatible client; it is not tied to one editor.
## Getting started
- [Getting started](https://agentbrush.dev/getting-started): Install AgentBrush and connect it to Claude, Cursor, Codex CLI, or Gemini CLI in about two minutes.
- [MCP server package on npm](https://www.npmjs.com/package/@agentbrush/mcp-server): The published package, run with `npx @agentbrush/mcp-server`.
## Reference
- [Docs](https://agentbrush.dev/docs): Tools, presets, quality tiers, and how generation works.
- [FAQ](https://agentbrush.dev/faq): Pricing, tokens, presets, and how generation works inside your agent.
- [Prici