agentbrush_generate

SERVERMcp Server SOURCE@agentbrush/mcp-server

Medium RISK CLASS

Category Write

Parameters 91 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dev-agentbrush-mcp-server/agentbrush-generate.md

WHAT IT DOES

What agentbrush_generate does on Mcp Server

AI agents use agentbrush_generate to create or update resources in Mcp Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Server environment.

Parameter	Type	Required	Description
`size`	object	—	Image dimensions. Options: 1024x1024 (square), 1024x1536 (portrait), 1536x1024 (landscape), or { width, height } custom object.
`preset`	string	—	Visual style preset. Options: realistic (photorealistic), flat_illustration (vector-like), pixel_art (retro pixel), isometric (3D isometric), logo (brand marks)
`subject`	string	Yes	Description of the image to generate
`background`	string	—	Background type. Options: opaque, auto. To get a transparent background, generate with opaque and then call agentbrush_remove_background.
`output_dir`	string	—	Directory to save the generated image. Relative paths resolve from project root (process.cwd()). Defaults to ./public/images/
`quality_hint`	string	—	low: 1 token at 1024×1024 (fast iteration). medium: 5 tokens (default). high: 20 tokens (best quality). Multiplied by a resolution factor for non-square sizes.
`output_format`	string	—	Output file format. Options: png (lossless, supports transparency), jpeg (smaller, no transparency), webp (modern, supports transparency)
`style_context`	object	—	Optional brand context: { style_descriptor?: string, color_hints?: string[], mood_tags?: string[] }. When omitted, auto-filled from .agentbrush/identity.json vi
`reference_image_paths`	array	—	Local absolute paths to reference images selected via agentbrush_list_references. Each path must resolve inside .agentbrush/references/ (enforced at tool runtim

Parameters from the server's own tool schema.

RISK

Why agentbrush_generate is rated Medium

This tool creates new image assets from text descriptions. It is a Write operation — it produces new content but does not delete or irreversibly overwrite existing data, execute code, or involve financial transactions. Misuse could result in generation of off-brand or inappropriate image assets, giving it medium severity.

From the tool's definition Generate an image from a text description. Use when the user or project needs a new image asset.

Risk signalsHigh parameter count (12 properties) · Bulk/mass operation — affects multiple targets · Admin/system-level operation

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs agentbrush_generate safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agentbrush_generate, this is the rule to start with:

agentbrush_generate Rate-limited

agentbrush_generate stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "agentbrush_generate": {
      "limits": [
        {
          "counter": "agentbrush_generate_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every agentbrush_generate call is checked against it from then on.

FAQ

Questions about agentbrush_generate

What does the agentbrush_generate tool do? +

Generate an image from a text description. Use when the user or project needs a new image asset. Presets: - realistic: Realistic (single model) - flat_illustration: Flat Illustration (single model) - pixel_art: Pixel Art (single model) - isometric: Isometric (single model) - logo: Logo (single model) - custom: Custom (single model) Quality levels (quality_hint): low=1 token, medium=5 tokens (default), high=20 tokens — at 1024×1024. Multiplied by a resolution factor for other sizes (portrait 0.8×, landscape 0.95×). Size: 1024x1024 (square), 1024x1536 (portrait), 1536x1024 (landscape), or a { width, height } custom object. Format: png (lossless, transparency), jpeg (smaller), webp (modern, transparency). Background: opaque or auto. For transparent backgrounds, generate with opaque and call agentbrush_remove_background on the result. style_context: optional { style_descriptor?, color_hints?, mood_tags? }. Auto-filled from .agentbrush/identity.json when omitted; explicit values override the file. reference_image_paths: optional absolute paths to reference images (max 10). When supplied, the backend routes the generation to OpenAI /v1/images/edits with the references attached as image[] parts — the model uses them as the appearance/style authority and composes the new image per the subject prompt. Paths must resolve inside .agentbrush/references/; obtain them via agentbrush_list_references or register a generated image as a reference via agentbrush_save_as_reference. Character iteration workflow: generate a character once with agentbrush_generate, optionally polish it via agentbrush_edit_mask, save it with agentbrush_save_as_reference, then every subsequent agentbrush_generate call can pass the reference path to keep the character consistent across new scenes/poses. output_dir: directory to save the image (default: ./public/images/). Relative to project root. Returns: saved file path, generation metadata, token cost, remaining balance, and an inline image preview. It is categorised as a Write tool in the Mcp Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does agentbrush_generate accept? +

agentbrush_generate accepts 9 parameters: size, preset, subject, background, output_dir, quality_hint, output_format, style_context, reference_image_paths. Required: subject. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on agentbrush_generate? +

Register the Mcp Server MCP server in PolicyLayer and add a rule for agentbrush_generate: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Server. Nothing to install.

What risk level is agentbrush_generate? +

agentbrush_generate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit agentbrush_generate? +

Yes. Add a rate_limit block to the agentbrush_generate rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block agentbrush_generate completely? +

Set action: deny in the PolicyLayer policy for agentbrush_generate. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides agentbrush_generate? +

agentbrush_generate is provided by the Mcp Server MCP server (@agentbrush/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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