Doubao MCP AI Server
Provides AI image and video generation capabilities using OpenAI's API, including text-to-image, image-to-video, and text-to-video.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Doubao MCP AI Servergenerate an image of a futuristic city"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Doubao MCP AI Server
本项目基于 FastMCP 框架,提供 AI 文生图、图生视频、文生视频等多种 AI 能力的 MCP 服务接口,适用于自动化、AI 助手、智能内容生成等场景。
功能简介
文本生成图片(文生图)
图片生成视频(图生视频)
文本生成视频(文生视频)
支持 API 密钥动态配置
支持多种模型和参数灵活调用
Related MCP server: Jimeng MCP Server
运行 MCP 服务器
1. 构建 Docker 镜像
docker build -t doubao-mcp-ai-server .2. 启动 Docker 容器
docker rm -f doubao-mcp-ai-server; docker run -d -p 8000:8000 --name doubao-mcp-ai-server doubao-mcp-ai-server容器启动后,MCP 服务将监听 0.0.0.0:8000,主机可通过 8000 端口访问。
3. 运行前请设置 API_KEY
服务启动后,请先通过 set_api_key 工具设置豆包 API 密钥,否则无法正常调用 AI 能力。
4. MCP 客户端配置示例
{
"mcpServers": {
"doubao_mcp_ai_server": {
"url": "https://127.0.0.1/sse",
"type": "sse"
}
}
}说明:如需公网访问,可使用 ngrok、frp 等工具将本地 8000 端口映射到公网。
依赖说明
Python 3.10
FastMCP
openai
requests
主要文件说明
doubao_mcp_ai_server.py:主服务代码,定义了所有 AI 工具和接口requirements.txt:依赖包列表Dockerfile:Docker 镜像构建文件
其他
如需自定义模型、API 密钥或扩展功能,请参考代码注释进行修改。
如有问题欢迎反馈。
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