openai-image-mcp
Click on "Install 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., "@openai-image-mcpgenerate an image of a cyberpunk city at night with neon lights"
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.
openai-image-mcp
基于 FastMCP 的 MCP 服务器,将多个图像生成后端(sensenova、modelscope 等)分别暴露为独立的 MCP 工具。每个后端的模型别名、支持尺寸、参数描述均在 config.yaml 中独立配置。适用于 opencode、Claude Code、Cursor 等 MCP 客户端。
快速启动
uvx --from git+https://github.com/bookandmusic/openai-image-mcp.git openai-image-mcp首次运行自动下载依赖并创建隔离虚拟环境。自动创建 ~/.config/openai-image-mcp/ 目录并写入示例 config.yaml,编辑后重启使用。
Related MCP server: imagegen-mcp
工具列表
工具名 | 说明 |
| 列出所有配置的后端、工具名和可用模型 |
| Sensenova u1-fast 2K 同步文生图(11 种宽高比) |
| ModelScope 异步文生图 / 图编辑(Qwen-Image 系列) |
工具为动态注册:config.yaml 中每个 backend 对应一个 MCP 工具,工具名、模型列表、支持尺寸均可自定义。
配置
openai-image-mcp 使用 YAML 配置文件。服务器按以下顺序查找配置目录:
命令行
--config-dir <path>(或--config-dir=<path>)环境变量
$OPENAI_IMAGE_MCP_CONFIG_DIR$XDG_CONFIG_HOME/openai-image-mcp(回退到~/.config/openai-image-mcp)
配置目录不存在时自动创建,无需手动 mkdir。
首次启动时,若配置文件不存在,服务器写入示例 config.yaml 并退出,编辑后重启使用。
配置示例
backends:
sensenova:
base_url: https://token.sensenova.cn/v1
api_key: env:SENSENOVA_API_KEY
async: false
timeout:
sync_generate: 600
tool:
name: sensenova_generate_image
description: |
Sensenova u1-fast 图像生成(2K 分辨率,同步模式)。
models:
u1-fast: sensenova-u1-fast
modelscope:
base_url: https://api-inference.modelscope.cn/v1
api_key: env:MODELSCOPE_API_KEY
async: true
timeout:
request: 30
poll_interval: 5
max_wait: 600
tool:
name: modelscope_generate_image
description: |
ModelScope 异步图像生成。
models:
qwen-image-2512: Qwen/Qwen-Image-2512
qwen-image-edit-2511: Qwen/Qwen-Image-Edit-2511每个后端支持的参数(prompt、size、n、image、save_path)在 parameters 块中按需定义,size 支持 enum 约束(WxH + 比例标注)。
API 密钥用 env:VAR_NAME 引用环境变量,本地开发可放到 .env 文件中:
SENSENOVA_API_KEY=sk-...
MODELSCOPE_API_KEY=ms-...客户端配置
opencode
{
"mcp": {
"openai-image-mcp": {
"type": "local",
"command": [
"uvx", "--from", "git+https://github.com/bookandmusic/openai-image-mcp.git",
"openai-image-mcp",
"--config-dir", "~/.config/openai-image-mcp"
],
"enabled": true,
"timeout": 600000
}
}
}Claude Code
添加到 ~/.claude/settings.json:
{
"mcpServers": {
"openai-image-mcp": {
"command": "uvx",
"args": [
"--from", "git+https://github.com/bookandmusic/openai-image-mcp.git",
"openai-image-mcp",
"--config-dir", "~/.config/openai-image-mcp"
]
}
}
}也可放在项目级 .claude/settings.local.json 中。
本地开发
git clone https://github.com/bookandmusic/openai-image-mcp.git
cd openai-image-mcp
uv sync
uv run python -m openai_image_mcp.server或安装为本地命令:
uv tool install .
openai-image-mcpLicense
MIT — 详见 LICENSE。
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