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jimeng-mcp

即梦 AI 的 MCP 服务 — 让 Claude、Cursor 等 AI 助手直接调用即梦的图片/视频生成能力。

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这是什么

MCP(Model Context Protocol) 是 Anthropic 推出的开放协议,允许 AI 模型通过标准化接口调用外部工具和服务。

jimeng-mcp 将字节跳动旗下即梦 AI 的官方 Volcengine API 封装为 MCP 服务。接入后,你可以在 Claude、Cursor 等支持 MCP 的客户端里,用自然语言直接驱动即梦生成图片和视频——无需打开浏览器,无需手动上传,生成结果自动保存到本地。

能做什么

图片能力

工具 能力 底层模型
generate_image 文生图,支持 4.0 / 4.6 / 3.x 多模型 即梦图片系列
image_to_image 图生图,智能参考原图风格/内容进行编辑 jimeng_i2i 3.0
inpaint_image 局部重绘:涂抹修改或消除画面元素 inpaint
upscale_image 智能超清:低清图片放大到 4K / 8K Seedream SR

视频能力

工具 能力 底层模型
generate_video 文生视频,720P / 1080P / Pro 三档 即梦视频 3.0
image_to_video 图生视频:首帧、首尾帧、重新运镜、Pro 模式 即梦视频 3.0
imitate_motion 动作模仿:将参考视频的动作迁移到目标人物 DreamActor 2.0
generate_digital_human 数字人:图片 + 音频 → 口型同步说话视频 OmniHuman 1.5
translate_video 视频翻译:保留音色,口型同步换语言 翻译 2.0

使用场景

  • 内容创作者:对话式生成配图和视频素材,不切换工具
  • 产品/设计:在 Cursor 里边改需求文档边生成原型图
  • 营销团队:批量生成不同风格的创意图,描述即出图
  • 开发者:在自己的 AI 应用中集成即梦能力,无需关心鉴权细节

快速上手

第一步:开通服务

  1. 登录火山引擎控制台,开通即梦 AI 服务
  2. 在访问控制 → API 访问密钥获取 Access Key ID 和 Secret Access Key

第二步:安装

推荐使用 uvx(无需手动安装,运行时自动拉取):

uvx jimeng-ai-mcp

也可以用 pip 全局安装:

pip install jimeng-ai-mcp

第三步:配置 MCP 客户端

Claude Desktop

配置文件路径:

  • macOS:~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows:%APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "jimeng": {
      "command": "uvx",
      "args": ["jimeng-ai-mcp"],
      "env": {
        "JIMENG_ACCESS_KEY_ID": "填入你的 Access Key ID",
        "JIMENG_SECRET_ACCESS_KEY": "填入你的 Secret Access Key"
      }
    }
  }
}

Cursor

配置文件路径:~/.cursor/mcp.json

{
  "mcpServers": {
    "jimeng": {
      "command": "uvx",
      "args": ["jimeng-ai-mcp"],
      "env": {
        "JIMENG_ACCESS_KEY_ID": "填入你的 Access Key ID",
        "JIMENG_SECRET_ACCESS_KEY": "填入你的 Secret Access Key"
      }
    }
  }
}

重启客户端后,在对话框里直接输入指令即可,例如:"帮我生成一张赛博朋克风格的城市夜景图"

本地开发模式

git clone https://github.com/andyleimc-source/jimeng-ai-mcp

cd jimeng-mcp
cp .env.example .env
# 用编辑器打开 .env,填入两个密钥
uv sync
uv run jimeng-mcp

本地调试(启动 MCP Inspector):

uv run mcp dev src/jimeng_mcp/server.py

使用示例

以下是在 Claude Desktop 中的实际对话示例:

文生图

帮我生成一张宋代山水画风格的图片,16:9 横幅,用即梦 4.0 模型

图生图

把这张产品图的背景换成简洁的白色摄影棚风格,保留产品主体不变 [附上图片 URL]

文生视频

生成一段 10 秒的视频:一只狐狸在雪地里奔跑,慢镜头,电影感,16:9

图生视频(首尾帧)

我有两张图,帮我生成首尾帧驱动的视频,开头是这张日出照片,结尾是这张夕阳照片,5 秒 首帧:[URL1],尾帧:[URL2]

数字人

用这张人物图片和这段音频,生成一个口型同步的数字人视频,输出 1080P 图片:[URL],音频:[URL]

视频翻译

把这个中文视频翻译成英文,口型同步 [视频 URL]

工具参数速查

generate_image

参数 类型 默认值 说明
prompt string 必填 图片描述
model string jimeng_t2i_v40 jimeng_t2i_v40 / jimeng_seedream46_cvtob / jimeng_t2i_v31 / jimeng_t2i_v30
aspect_ratio string 1:1 1:1 / 16:9 / 9:16 / 4:3 / 3:4 / 3:2 / 2:3
quality string 2k 2k 或 normal
negative_prompt string "" 不希望出现的内容

generate_video

参数 类型 默认值 说明
prompt string 必填 视频描述
model string jimeng_t2v_v30 jimeng_t2v_v30(720P)/ jimeng_t2v_v30_1080p(1080P)/ jimeng_ti2v_v30_pro(Pro)
aspect_ratio string 16:9 16:9 / 4:3 / 1:1 / 3:4 / 9:16 / 21:9
duration_sec int 5 5 或 10 秒

image_to_video

参数 类型 默认值 说明
image_url string 必填 首帧图片 URL
prompt string 必填 视频描述
mode string first first / first_1080p / first_tail / first_tail_1080p / recamera / pro
duration_sec int 5 5 或 10 秒
tail_image_url string "" 尾帧图片(first_tail / first_tail_1080p 模式必填)

translate_video

参数 类型 默认值 说明
video_url string 必填 原视频 URL
target_language string 必填 目标语言代码
src_language string zh 源语言代码

语言代码:zh 中文 · en 英语 · ja 日语 · ko 韩语 · fr 法语 · de 德语 · es 西班牙语 · pt 葡萄牙语 · ru 俄语 · ar 阿拉伯语 · it 意大利语

环境变量

变量 必填 说明
JIMENG_ACCESS_KEY_ID ✅ 火山引擎 Access Key ID
JIMENG_SECRET_ACCESS_KEY ✅ 火山引擎 Secret Access Key
JIMENG_OUTPUT_DIR 可选 生成文件保存目录,默认 ~/jimeng-output

相关资源

License

MIT

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