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veImageX MCP

veImageX MCP

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github.com/volcengineMedia & Design4Updated 76w ago
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About veImageX MCP

veImageX MCP connects Volcengine ImageX to an LLM context for MCP clients working with image resources. It wraps image management, text-to-image generation, image quality restoration and assessment, and usage and quality queries.

Key features

  1. 01Access ImageX service information and image resources
  2. 02Manage image resources
  3. 03Generate images from text
  4. 04Restore and assess image quality with AI
  5. 05Query usage and quality

Use cases

  1. 01Manage ImageX image resources
  2. 02Generate images from text prompts
  3. 03Restore or assess image quality
  4. 04Check service usage and quality

MCP support

This MCP server provides clients with ImageX resource-access interfaces, wrapped tools, and predefined prompt templates.

#veimagex#image#mcp

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "imagex": {
      "command": "uvx",
      "args": [
        "veimagex-mcp"
      ],
      "env": {
        "VOLCENGINE_ACCESS_KEY": "<VOLCENGINE_ACCESS_KEY>",
        "VOLCENGINE_SECRET_KEY": "<VOLCENGINE_SECRET_KEY>",
        "SERVICE_ID": "<SERVICE_ID>",
        "DOMAIN": "<DOMAIN>"
      }
    }
  }
}
Run commanduvx veimagex-mcp
Environment variables to set
VOLCENGINE_ACCESS_KEYSecret
VOLCENGINE_SECRET_KEYSecret
SERVICE_ID
DOMAIN

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiveimagex-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Volcengine ImageX MCP

Volcengine ImageX 的 Model Context Protocol (MCP) Server 实现

项目简介

Volcengine ImageX MCP是一个基于Model Context Protocol的 MCP-server， 它将 Volcengine 服务集成到LLM模型上下文中，使大模型能够直接上传和处理图片资源。

功能特点

  • 提供多种资源访问接口，便于LLM获取veImageX服务信息、图片资源等
  • 实现了多个veImageX功能的工具封装，包括图片资源的管理、文生图、AIGC画质修复、画质评估以及常用的用量、质量查询能力
  • 提供多种预定义提示模板，帮助LLM更好地理解和使用veImageX功能

安装

环境要求

使用方法

在 mcp client 中配置 mcp 服务， 配置的 MCP JSON：

{
  "mcpServers": {
    "volcengine": {
      "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"
    }
  }
}

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.