Seedream/Seedance MCP Server
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 |
|---|---|
| text-to-imageC | 使用火山方舟 Seedream 模型生成图片(Ark-only) |
| image-to-imageC | 使用火山方舟 Seedream 模型进行图生图(Ark-only) |
| generate-imageC | 使用火山方舟 Seedream 模型生成/编辑图片(Ark-only) |
| generate-videoC | 使用火山方舟 Seedance 模型生成视频(异步任务) |
| generate-digital-humanD | Ark-only 模式下不支持该工具 |
| action-imitationD | Ark-only 模式下不支持该工具 |
| image-dressingD | Ark-only 模式下不支持该工具 |
| generate-img-seedream4C | 直接调用火山方舟 Seedream API 生成图片(Ark-only) |
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 8 tools
Multiple tools have unclear boundaries and overlapping purposes. For example, 'generate-image', 'generate-img-seedream4', and 'text-to-image' all appear to generate images, with only minor distinctions in implementation or input method that are not clearly differentiated in the descriptions. This ambiguity will likely cause misselection by agents.
The naming conventions are mixed but still readable. Most tools use a verb_noun pattern (e.g., 'generate-image', 'generate-video'), but there are deviations like 'image-dressing' and 'action-imitation' that use noun_verb or other structures. While not chaotic, the inconsistency reduces predictability.
With 8 tools, the count is reasonable and well-scoped for a media generation server focused on images and videos. It covers key operations without being overly heavy, though some tools might be redundant, which is addressed in other dimensions.
There are significant gaps in the tool surface for the domain of digital media generation. The server lacks essential operations such as editing or deleting generated content, managing tasks (e.g., checking video generation status), or handling errors. Additionally, three tools are marked as unsupported in the current mode, further limiting functionality.