jimeng-web-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| JIMENG_API_TOKEN | Yes | Your sessionid from jimeng.jianying.com cookies |
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 | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| pingC | 测试服务器连接 |
| imageB | 生成单张图像 |
| image_batchA | 系列图片生成 - 用于生成高相关性的连续图片（如：房间系列、故事分镜、绘本画面、产品多角度） |
| queryB | 查询任务状态和结果 |
| videoC | 纯文字生成视频 |
| video_frameD | 首尾帧控制视频 |
| video_multiA | 关键帧动画视频 - 提供2-10个关键帧图片，系统在帧间生成平滑过渡动画 |
| video_mixC | 融合多张图片主体到一个场景 |
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 8 tools
Each tool serves a distinct purpose: ping checks connectivity, image and image_batch handle single vs. series generation, query fetches task status, and video, video_frame, video_multi, and video_mix cover different video generation modes. The video tools could cause some confusion since they all generate videos, but their input differences are clearly described.
Video tools share a consistent 'video' prefix, and image tools have a clear 'image' base. However, ping and query are verbs while image and video are nouns, and video_mix uses a verb suffix, causing a mix of conventions that is still readable but not fully predictable.
With 8 tools covering both image and video generation plus a status query, the server is well-scoped. Each tool has a distinct role, and the count is within the ideal 3-15 range, neither too sparse nor overloaded.
The core lifecycle of generation and result retrieval is covered for both images and videos. Minor gaps exist, such as no explicit tool for image editing (e.g., inpainting) or listing available models, but these are non-essential for a basic generation workflow.