Doubao Vision MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ARK_API_KEY | Yes | 火山方舟 API Key | |
| DOUBAO_MODEL | No | 模型名（预置推理接入点）或 ep-xxxxx（模型推理接入点） | doubao-seed-2-0-mini-260428 |
| DOUBAO_BASE_URL | No | API 地址 | https://ark.cn-beijing.volces.com/api/v3 |
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 |
|---|---|
| doubao_vision_understandC | Analyze an image using Doubao vision model via Volcengine Ark API. Supports both preset inference (model name) and custom inference (ep-xxxxx endpoint ID). Configure via DOUBAO_MODEL environment variable. |
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 1 tool
Only one tool exists, so there is no ambiguity or overlap with other tools.
With a single tool, naming consistency is not applicable; the name is clear and descriptive.
One tool is on the low end of the range, but it is focused and covers the core image analysis task for a specialized vision server.
The tool covers image analysis, but the server lacks additional operations like image generation or batch processing that might be expected in a vision server.