What are the prerequisites to use veImageX MCP?
Python 3.11+ and a Volcengine account with valid AccessKey and SecretKey.

@volcengine
基本情報
概要はまだありません
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": {
"veImageX": {
"disabled": false,
"command": "uvx",
"args": [
"veimagex-mcp"
],
"env": {
"VOLCENGINE_ACCESS_KEY": "Your Volcengine AK",
"VOLCENGINE_SECRET_KEY": "Your Volcengine SK",
"SERVICE_ID": "Your Service ID",
"DOMAIN": "Your Domain"
},
"transportType": "stdio"
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
veImageX MCP is a Model Context Protocol server implementation for Volcengine ImageX. It integrates Volcengine image services into LLM contexts, enabling large models to directly upload and process image resources. It is designed for developers working with Volcengine ImageX and AI-powered image workflows.
Install with Python 3.11+ and configure the MCP JSON in your client with uvx as the command and the required environment variables: VOLCENGINE_ACCESS_KEY, VOLCENGINE_SECRET_KEY, SERVICE_ID, DOMAIN. The server runs over stdio transport.
Python 3.11+ and a Volcengine account with valid AccessKey and SecretKey.
You must set `VOLCENGINE_ACCESS_KEY`, `VOLCENGINE_SECRET_KEY`, `SERVICE_ID`, and `DOMAIN` in the MCP server configuration.
It uses stdio transport, as configured via the MCP JSON `transportType` field.
Tools for image resource management, text-to-image generation, AIGC quality repair, quality assessment, and usage/quality queries.
Yes, the server provides predefined prompt templates to help LLMs better understand and use veImageX features.
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