Skip to main content
Glama
nsmao-com

Seedream/Seedance MCP Server

by nsmao-com

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.2/5.0

Scored across 8 tools

Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count4/5

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.

Completeness2/5

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.

Maintenance

ActivityInactive
ResponsivenessNo issues