What dependencies are required to run openai-gpt-image-mcp?
You need Node.js, yarn (or npm), and an Internet connection. The server uses the OpenAI Node.js SDK and the MCP SDK.
@SureScaleAI
基本情報
A Model Context Protocol (MCP) tool server for OpenAI's GPT-4o/gpt-image-1 image generation and editing APIs.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"openai-gpt-image-mcp": {
"command": "node",
"args": [
"/absolute/path/to/dist/index.js"
],
"env": {
"OPENAI_API_KEY": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
openai-gpt-image-mcp is a Model Context Protocol (MCP) server that provides image generation and editing capabilities via OpenAI's GPT-4o and gpt-image-1 APIs. It is designed for developers and users of MCP-compatible clients such as Claude Desktop, Cursor, VSCode, and Windsurf.
Clone the repository, install dependencies with yarn install, and build with yarn build. Then add a configuration entry to your MCP client (e.g., Claude Desktop or VSCode) specifying the path to dist/index.js and your OpenAI API key (or Azure credentials). The server exposes two tools: create-image (generate images) and edit-image (edit images with optional mask). Image output can be saved to disk or returned as base64.
MCP_HF_WORK_DIR environment variable.You need Node.js, yarn (or npm), and an Internet connection. The server uses the OpenAI Node.js SDK and the MCP SDK.
Set the environment variables `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_ENDPOINT`, and `OPENAI_API_VERSION` in the MCP client configuration instead of `OPENAI_API_KEY`.
The tool automatically saves the image to disk and returns the file path instead of base64. This avoids the 1MB payload limit of MCP clients like Claude Desktop.
If no `file_output` path is specified, images are saved to `/tmp` (or the directory set by the `MCP_HF_WORK_DIR` environment variable) with a unique filename.
Absolute paths are required. On Unix/macOS/Linux use a leading `/` (e.g., `/path/to/image.png`), and on Windows include the drive letter followed by `:` (e.g., `C:/path/to/image.png`).
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