pixmax-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_modelsA | List the models your Pixmax key can use, with type, estimated credit cost, and reference capacity. Call this first to discover exact model codes. Pass |
| generate_imageA | 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. |
| generate_videoA | Generate a video with a Pixmax model (Kling V3/O1/2.6, Veo 3.1, Hailuo, Wan, PixVerse, Vidu, Seedance). Pass an image (path or URL) for image-to-video, plus |
| generate_textB | Run a text/LLM model (DeepSeek V4, Gemini 3.1, MiniMax, Doubao Seed). Returns the generated text. |
| generate_3dA | Generate a 3D model (.glb) from a text prompt with Hunyuan 3D. Text-to-3D only (image-to-3D is not supported). |
| generate_audioA | Generate speech or music (ElevenLabs V2/V3/Music, MiniMax Speech/Music). For MiniMax Music pass |
| get_taskA | Check a task started with wait=false. Returns status, and result URL(s) + cost once COMPLETE. |
| generate_storyboardA | Generate an image via the GENERATE_STORYBOARD node type (GPT Image 2, Nano Banana 2, Nano Banana Pro). Identical to generate_image — same pricing, same single-image output — just classified under a different node type. No multi-panel behavior; use generate_image unless something downstream specifically requires the GENERATE_STORYBOARD classification. Pass reference_images for consistency. |
| prompting_guideA | Get the prompting craft rules for a medium (video, image, audio, 3d) — how to structure a prompt, camera/motion vocabulary for video, how to use references, and the common failure modes. Pass a |
| list_tasksA | List your recent Pixmax generation tasks (newest first) with status, model, prompt, and result URL(s). Useful for recovering a result you forgot to save, checking on wait=false jobs, or auditing recent activity. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
Most tools have distinct purposes, but generate_image and generate_storyboard are described as nearly identical, differing only in node type. This overlap could cause confusion for an agent.
Tool names follow a consistent verb_noun pattern (e.g., generate_image, list_models, get_task). The only deviation is 'prompting_guide', which uses a gerund instead of a verb, but it is still clear.
With 10 tools covering a broad range of generative model capabilities (image, video, text, 3D, audio) plus management functions, the count is well-scoped and not overwhelming.
The tool surface covers generation and monitoring for all advertised media types. Minor gaps include the lack of a cancel task or delete result tool, but core workflows are complete.