Jimeng MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VOLCENGINE_ACCESS_KEY | Yes | Your Volcengine Access Key ID obtained from https://console.volcengine.com/iam/keymanage/ | |
| VOLCENGINE_SECRET_KEY | Yes | Your Volcengine Secret Access Key obtained from https://console.volcengine.com/iam/keymanage/ |
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 |
|---|---|
| generateImageD | 调用即梦AI生成图像 |
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
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generateImage' has a clearly distinct and singular purpose, making it impossible for an agent to confuse it with other tools in this set.
The naming is trivially consistent as there is only one tool. The tool name 'generateImage' follows a clear verb_noun pattern, and with no other tools to compare against, it cannot exhibit any inconsistency in naming conventions.
A single tool is generally too few for most server purposes, as it limits functionality and suggests a narrow scope. For an image generation server, this might be acceptable if it's highly specialized, but it feels thin and could indicate an incomplete surface for broader AI tasks.
The server is severely incomplete for any meaningful domain beyond basic image generation. With only one tool, there are significant gaps in coverage—no ability to edit, delete, list, or manage images, and no support for other AI tasks. This will likely cause agent failures in multi-step workflows.