veImageX MCP
@volcengine
veImageX MCP について
概要はまだありません
基本情報
設定
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
ツールは検出されませんでした
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。
概要
What is veImageX MCP?
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.
How to use veImageX MCP?
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.
Key features of veImageX MCP
- Resource access interfaces for veImageX service and image data
- Tool wrappers for image management, text-to-image, and AIGC quality repair
- Image quality assessment and usage/quality query tools
- Predefined prompt templates for LLM context
- Integrates with Volcengine ImageX via MCP
Use cases of veImageX MCP
- Upload images to Volcengine ImageX from an LLM conversation
- Generate images from text descriptions
- Repair or enhance image quality
- Query image usage metrics and service status
- Enable AI agents to manage cloud image resources
FAQ from veImageX MCP
What are the prerequisites to use veImageX MCP?
Python 3.11+ and a Volcengine account with valid AccessKey and SecretKey.
What environment variables are required?
You must set VOLCENGINE_ACCESS_KEY, VOLCENGINE_SECRET_KEY, SERVICE_ID, and DOMAIN in the MCP server configuration.
How is the server transported?
It uses stdio transport, as configured via the MCP JSON transportType field.
What tools does veImageX MCP provide?
Tools for image resource management, text-to-image generation, AIGC quality repair, quality assessment, and usage/quality queries.
Is there a prompt template included?
Yes, the server provides predefined prompt templates to help LLMs better understand and use veImageX features.
「その他」の他のコンテンツ
Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
MCP Registry
modelcontextprotocolA community driven registry service for Model Context Protocol (MCP) servers.
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
Inbox Zero AI MCP
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
コメント