WujieAI MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| WUJIEAI_API_KEY | Yes | 访问无界AI控制台创建的API密钥 |
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 |
|---|---|
| generate_imageC | AI生成图片 |
| query_generate_taskB | 查询作画任务结果 |
| query_model_infosB | 查询作画模型信息列表 |
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 targets a distinct aspect: generating an image, querying task results, and listing model info. There is no overlap or ambiguity between them.
All tool names follow a consistent snake_case verb_noun pattern (generate_image, query_generate_task, query_model_infos). The naming is predictable and uniform.
With exactly 3 tools, the server provides a tightly scoped set that covers the essential lifecycle of image generation without unnecessary bloat. The count feels appropriate for the purpose.
The server covers generation, result querying, and model listing, which handles the core workflow. Missing features like task cancellation or listing all tasks are minor and not critical for basic usage.