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veImageX MCP

@volcengine

关于 veImageX MCP

暂无概览

基本信息

分类

其他

传输方式

stdio

发布者

volcengine

提交者

chao ma

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

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