Vidu MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VIDU_API_KEY | Yes | Your Vidu API key (available from Vidu website) |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| image-to-videoC | Generate a video from an image using Vidu API |
| check-generation-statusB | Check the status of a video generation task |
| upload-imageC | Upload an image to use with the Vidu API |
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 3 tools
Each tool has a clearly distinct purpose: check-generation-status monitors task progress, image-to-video creates videos from images, and upload-image handles image uploads. There is no overlap in functionality, making tool selection straightforward.
The tools follow a consistent verb-object naming pattern (check-generation-status, image-to-video, upload-image), all using hyphens. However, the pattern is slightly inconsistent as 'image-to-video' uses a preposition 'to' while others do not, but it remains readable and predictable.
With 3 tools, the count is appropriate for a focused video generation API server, covering core operations. It is slightly lean but reasonable for the domain, as it includes upload, generation, and status checking without unnecessary bloat.
The tools cover basic video generation workflows: upload, generate, and check status. However, there are notable gaps such as missing operations for managing or deleting uploaded images, handling video outputs, or supporting other input types beyond images, which could limit agent capabilities.