veImageX MCP Server

@volcengine

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

volcengine

提交者

chao ma

关于 veImageX MCP Server

暂无概览

#veimagex#image #mcp

veImageX MCP Server 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"
    }
  }
}

veImageX MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

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

常见问题

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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