veImageX MCP
Description
# Volcengine ImageX MCP [Volcengine ImageX](https://t.zijieimg.com/MIURnXrQfvU/) 的 Model Context Protocol (MCP) Server 实现 ## 项目简介 Volcengine ImageX MCP是一个基于[Model Context Protocol](https://github.com/modelcontextprotocol/python-sdk)的 MCP-server， 它将 Volcengine…
About
# Volcengine ImageX MCP [Volcengine ImageX](https://t.zijieimg.com/MIURnXrQfvU/) 的 Model Context Protocol (MCP) Server 实现 ## 项目简介 Volcengine ImageX MCP是一个基于[Model Context Protocol](https://github.com/modelcontextprotocol/python-sdk)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 -…
Details
- Author
- volcengine
- Downloads
- 198
- Categories
- Other
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
veImageX MCPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"veimagex mcp": {
"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"
}
}
}
}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"
}
}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
- Python 3.11+
- 火山引擎账号及AccessKey/SecretKey
使用方法
在 mcp client 中配置 mcp 服务， 配置的 MCP JSON：
{
"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"
}
}
}
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