Tongyi Wanxiang MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DASHSCOPE_API_KEY | Yes | Your Tongyi Wanxiang API key |
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 |
|---|---|
| wanx-t2i-image-generationB | 使用阿里云万相文生图大模型的文生图能力，由于图片生成耗时比较久，需要调用 wanx-t2i-image-generation-result 工具获取结果 |
| wanx-t2i-image-generation-resultC | 获取阿里云万相文生图大模型的文生图结果 |
| wanx-t2v-video-generationA | 使用阿里云万相文生视频大模型的文生视频能力，由于视频生成耗时比较久，需要调用 wanx-t2v-video-generation-result 工具获取结果 |
| wanx-t2v-video-generation-resultC | 获取阿里云万相文生视频大模型的文生视频结果 |
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 4 tools
The tools have perfectly distinct purposes: two for image generation (one to start, one to get results) and two for video generation (one to start, one to get results). There is no overlap or ambiguity between the image and video domains, and the result tools are clearly tied to their respective generation tools.
All tool names follow a consistent pattern: 'wanx-t2i-' or 'wanx-t2v-' prefixes indicating the model type, followed by a descriptive hyphenated phrase (e.g., 'image-generation', 'video-generation-result'). This pattern is applied uniformly across all four tools, making them predictable and easy to understand.
With 4 tools, the server is well-scoped for its purpose of generating images and videos via the Tongyi Wanxiang models. Each tool earns its place by covering the necessary asynchronous workflow (start generation and retrieve results) for both image and video tasks, avoiding bloat or redundancy.
The tool set is complete for the server's domain of image and video generation. It provides full coverage for both tasks with dedicated tools to initiate generation and retrieve results, ensuring agents can handle the entire lifecycle without gaps or dead ends.