Skip to main content
Glama
huikku

pixmax-mcp

by huikku

Generate an image

generate_image

Generate images using Pixmax models; pass reference images for image-to-image or character consistency with up to 14 references. Automatically retries failed generations.

Instructions

Generate an image with a Pixmax model (Seedream 5 Pro/Lite, Nano Banana / 2 / Pro, Midjourney V7/V8.1/Niji, GPT Image 2, Qwen, MiniMax, Wan). Pass reference_images (file paths or URLs) for image-to-image or character consistency — up to 14, and they are free. Rich refs ({source, role, strength, note}) get their guidance woven into the prompt. style keeps a whole set visually coherent. Failed generations retry once automatically. Blocks until ready and returns the URL(s).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoDefault true. false = return a task id immediately (poll with get_task)
countNoNumber of images (billed linearly)
modelYesModel code or name, e.g. "DOUBAO_SEEDREAM_5_PRO" or "Seedream 5.0 Pro"
styleNoVisual-language suffix applied consistently across generations (e.g. "handmade stop-motion miniature, muted palette")
promptYesWhat to generate
qualityNoGPT Image 2 only — render quality (default medium)
save_toNoDirectory to save the result(s) — Pixmax URLs expire
resolutionNoe.g. 1K, 2K, 4K — free on most Pixmax image models. 4K is auto-capped to 2K on the Seedream family (unsupported there)
aspect_ratioNoe.g. 16:9, 1:1, 9:16
prompt_extendNoQwen Image Edit only — auto-expand the prompt (default true)
reference_imagesNoReferences — plain paths/URLs, or rich objects with role/strength/note; guidance is woven into the prompt so the model knows what each ref is FOR
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and covers retry-on-failure, blocking behavior, reference image limits and cost, and style consistency. It omits some details like rate limits or auth requirements, but the provided info is substantial and honest.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is six sentences, each providing distinct and valuable information. It front-loads the core action, then efficiently covers reference images, style, retry, and blocking. There is no redundancy or unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (11 parameters) and lack of output schema, the description covers the main functional aspects: models, reference images, style, retry, and return behavior. It does not detail output format beyond URLs or list all models, but the essential context for selection and invocation is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds significant context beyond individual parameter descriptions, such as how reference_images are used (up to 14, free, guidance woven into prompt) and the role of style for visual coherence. This enhances understanding of parameter interactions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Generate an image' with a specific set of models, clearly distinguishing it from sibling generation tools for video, 3D, audio, etc. It also mentions use cases like image-to-image and character consistency, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use the tool (image generation with Pixmax models) and describes key behaviors like blocking or returning a task ID. However, it does not explicitly exclude alternatives or compare with other image generators, but the sibling tools are different modalities, so the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

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/huikku/pixmax-mcp'

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