image-video-generation-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| IMAGE_VIDEO_GENERATION_API_KEY | Yes | API Key for BigModel AI platform | |
| IMAGE_VIDEO_GENERATION_DEFAULT_IMAGE_MODEL | No | Default image generation model | cogview-3-flash |
| IMAGE_VIDEO_GENERATION_DEFAULT_VIDEO_MODEL | No | Default video generation model | cogvideox-flash |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageC | Generate images using BigModel CogView models |
| batch_generate_imagesB | 批量生成多张图像，支持并行处理和批次管理 |
| generate_videoB | Generate videos using BigModel CogVideoX models |
| query_video_resultC | Query the result of an asynchronous video generation task |
| wait_for_videoA | Wait for video generation to complete and return the result |
| configure_modelsC | Configure default models and settings |
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 6 tools
Tools are mostly distinct: two image generators (single vs batch) and two video result tools (query vs wait) are related but have clear differences. configure_models is separate. Some potential confusion between the image generation tools without careful reading.
All names use snake_case but verbs vary: 'generate', 'batch_generate', 'configure', 'query', 'wait_for'. The prefix 'generate' is used in three tools but not uniformly. Inconsistent verb patterns reduce predictability.
Six tools cover the core workflow of image and video generation, including configuration and asynchronous result retrieval. The count is well-scoped for this domain.
The tool set covers the main generation tasks (single/batch image, video) and includes async support and model configuration. Minor gaps like image variation or editing are not expected for a basic generation server.