{"id":49574799,"url":"https://github.com/andyleimc-source/jimeng-ai-mcp","last_synced_at":"2026-05-03T16:08:28.910Z","repository":{"id":350124915,"uuid":"1205431143","full_name":"andyleimc-source/jimeng-ai-mcp","owner":"andyleimc-source","description":"即梦 AI 的 MCP 服务 | MCP server for Jimeng AI (ByteDance) — image/video generation via Claude \u0026 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Protocol）](https://modelcontextprotocol.io/) 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。\n\n**jimeng-mcp** 将字节跳动旗下[即梦 AI](https://jimeng.jianying.com/) 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。\n\n## 能做什么\n\n### 图片能力\n\n| 工具 | 能力 | 底层模型 |\n|---|---|---|\n| `generate_image` | 文生图，支持 4.0 / 4.6 / 3.x 多模型 | 即梦图片系列 |\n| `image_to_image` | 图生图，智能参考原图风格/内容进行编辑 | jimeng_i2i 3.0 |\n| `inpaint_image` | 局部重绘：涂抹修改或消除画面元素 | inpaint |\n| `upscale_image` | 智能超清：低清图片放大到 4K / 8K | Seedream SR |\n\n### 视频能力\n\n| 工具 | 能力 | 底层模型 |\n|---|---|---|\n| `generate_video` | 文生视频，720P / 1080P / Pro 三档 | 即梦视频 3.0 |\n| `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 |\n| `imitate_motion` | 动作模仿：将参考视频的动作迁移到目标人物 | DreamActor 2.0 |\n| `generate_digital_human` | 数字人：图片 + 音频 → 口型同步说话视频 | OmniHuman 1.5 |\n| `translate_video` | 视频翻译：保留音色，口型同步换语言 | 翻译 2.0 |\n\n## 使用场景\n\n- **内容创作者**：对话式生成配图和视频素材，不切换工具\n- **产品/设计**：在 Cursor 里边改需求文档边生成原型图\n- **营销团队**：批量生成不同风格的创意图，描述即出图\n- **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\n\n## 快速上手\n\n### 第一步：开通服务\n\n1. 登录[火山引擎控制台](https://console.volcengine.com/ai/ability/detail/2)，开通**即梦 AI** 服务\n2. 在[访问控制 → API 访问密钥](https://console.volcengine.com/iam/keymanage/)获取 Access Key ID 和 Secret Access Key\n\n### 第二步：安装\n\n推荐使用 `uvx`（无需手动安装，运行时自动拉取）：\n\n```bash\nuvx jimeng-ai-mcp\n```\n\n也可以用 pip 全局安装：\n\n```bash\npip install jimeng-ai-mcp\n```\n\n### 第三步：配置 MCP 客户端\n\n#### Claude Desktop\n\n配置文件路径：\n- **macOS**：`~/Library/Application Support/Claude/claude_desktop_config.json`\n- **Windows**：`%APPDATA%\\Claude\\claude_desktop_config.json`\n\n```json\n{\n  \"mcpServers\": {\n    \"jimeng\": {\n      \"command\": \"uvx\",\n      \"args\": [\"jimeng-ai-mcp\"],\n      \"env\": {\n        \"JIMENG_ACCESS_KEY_ID\": \"填入你的 Access Key ID\",\n        \"JIMENG_SECRET_ACCESS_KEY\": \"填入你的 Secret Access Key\"\n      }\n    }\n  }\n}\n```\n\n#### Cursor\n\n配置文件路径：`~/.cursor/mcp.json`\n\n```json\n{\n  \"mcpServers\": {\n    \"jimeng\": {\n      \"command\": \"uvx\",\n      \"args\": [\"jimeng-ai-mcp\"],\n      \"env\": {\n        \"JIMENG_ACCESS_KEY_ID\": \"填入你的 Access Key ID\",\n        \"JIMENG_SECRET_ACCESS_KEY\": \"填入你的 Secret Access Key\"\n      }\n    }\n  }\n}\n```\n\n\u003e 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\"\n\n### 本地开发模式\n\n```bash\ngit clone https://github.com/andyleimc-source/jimeng-ai-mcp\n\ncd jimeng-mcp\ncp .env.example .env\n# 用编辑器打开 .env，填入两个密钥\nuv sync\nuv run jimeng-mcp\n```\n\n本地调试（启动 MCP Inspector）：\n\n```bash\nuv run mcp dev src/jimeng_mcp/server.py\n```\n\n## 使用示例\n\n以下是在 Claude Desktop 中的实际对话示例：\n\n**文生图**\n\u003e 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\n\n**图生图**\n\u003e 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\n\u003e [附上图片 URL]\n\n**文生视频**\n\u003e 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\n\n**图生视频（首尾帧）**\n\u003e 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\n\u003e 首帧：[URL1]，尾帧：[URL2]\n\n**数字人**\n\u003e 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\n\u003e 图片：[URL]，音频：[URL]\n\n**视频翻译**\n\u003e 把这个中文视频翻译成英文，口型同步\n\u003e [视频 URL]\n\n## 工具参数速查\n\n### `generate_image`\n\n| 参数 | 类型 | 默认值 | 说明 |\n|---|---|---|---|\n| `prompt` | string | 必填 | 图片描述 |\n| `model` | string | `jimeng_t2i_v40` | `jimeng_t2i_v40` / `jimeng_seedream46_cvtob` / `jimeng_t2i_v31` / `jimeng_t2i_v30` |\n| `aspect_ratio` | string | `1:1` | `1:1` / `16:9` / `9:16` / `4:3` / `3:4` / `3:2` / `2:3` |\n| `quality` | string | `2k` | `2k` 或 `normal` |\n| `negative_prompt` | string | `\"\"` | 不希望出现的内容 |\n\n### `generate_video`\n\n| 参数 | 类型 | 默认值 | 说明 |\n|---|---|---|---|\n| `prompt` | string | 必填 | 视频描述 |\n| `model` | string | `jimeng_t2v_v30` | `jimeng_t2v_v30`（720P）/ `jimeng_t2v_v30_1080p`（1080P）/ `jimeng_ti2v_v30_pro`（Pro） |\n| `aspect_ratio` | string | `16:9` | `16:9` / `4:3` / `1:1` / `3:4` / `9:16` / `21:9` |\n| `duration_sec` | int | `5` | `5` 或 `10` 秒 |\n\n### `image_to_video`\n\n| 参数 | 类型 | 默认值 | 说明 |\n|---|---|---|---|\n| `image_url` | string | 必填 | 首帧图片 URL |\n| `prompt` | string | 必填 | 视频描述 |\n| `mode` | string | `first` | `first` / `first_1080p` / `first_tail` / `first_tail_1080p` / `recamera` / `pro` |\n| `duration_sec` | int | `5` | `5` 或 `10` 秒 |\n| `tail_image_url` | string | `\"\"` | 尾帧图片（`first_tail` / `first_tail_1080p` 模式必填） |\n\n### `translate_video`\n\n| 参数 | 类型 | 默认值 | 说明 |\n|---|---|---|---|\n| `video_url` | string | 必填 | 原视频 URL |\n| `target_language` | string | 必填 | 目标语言代码 |\n| `src_language` | string | `zh` | 源语言代码 |\n\n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\n\n## 环境变量\n\n| 变量 | 必填 | 说明 |\n|---|---|---|\n| `JIMENG_ACCESS_KEY_ID` | ✅ | 火山引擎 Access Key ID |\n| `JIMENG_SECRET_ACCESS_KEY` | ✅ | 火山引擎 Secret Access Key |\n| `JIMENG_OUTPUT_DIR` | 可选 | 生成文件保存目录，默认 `~/jimeng-output` |\n\n## 相关资源\n\n- [即梦 AI 开放平台 — 接口总览](https://www.volcengine.com/docs/85621/1544716?lang=zh)\n- [即梦 AI 官网](https://jimeng.jianying.com/)\n- [火山引擎控制台](https://console.volcengine.com/ai/ability/detail/2)\n- [MCP 协议规范](https://modelcontextprotocol.io/)\n- [Claude Desktop 下载](https://claude.ai/download)\n- [火山引擎签名机制文档](https://www.volcengine.com/docs/6369/65)\n\n## License\n\n[MIT](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandyleimc-source%2Fjimeng-ai-mcp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandyleimc-source%2Fjimeng-ai-mcp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandyleimc-source%2Fjimeng-ai-mcp/lists"}