Mcp Imagex
What is Mcp Imagex
mcp-imagex is an implementation of the Model Context Protocol (MCP) Server for Volcengine ImageX, which integrates Volcengine services into the context of large language models (LLMs) to enable direct uploading and processing of image resources.
Use cases
Use cases for mcp-imagex include generating images from text descriptions, managing image resources, enhancing image quality, and performing quality assessments, all within the context of large language models.
How to use
To use mcp-imagex, configure the MCP service in the mcp client with the required MCP JSON settings, including your Volcengine AccessKey, SecretKey, Service ID, and Domain.
Key features
Key features include multiple resource access interfaces for LLMs to retrieve veImageX service information and image resources, encapsulation of various veImageX functionalities such as image management, text-to-image generation, AIGC quality restoration, quality assessment, and predefined prompt templates to enhance LLM’s understanding of veImageX features.
Where to use
mcp-imagex can be used in fields such as artificial intelligence, machine learning, and image processing, particularly where integration of image resources with language models is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Imagex
mcp-imagex is an implementation of the Model Context Protocol (MCP) Server for Volcengine ImageX, which integrates Volcengine services into the context of large language models (LLMs) to enable direct uploading and processing of image resources.
Use cases
Use cases for mcp-imagex include generating images from text descriptions, managing image resources, enhancing image quality, and performing quality assessments, all within the context of large language models.
How to use
To use mcp-imagex, configure the MCP service in the mcp client with the required MCP JSON settings, including your Volcengine AccessKey, SecretKey, Service ID, and Domain.
Key features
Key features include multiple resource access interfaces for LLMs to retrieve veImageX service information and image resources, encapsulation of various veImageX functionalities such as image management, text-to-image generation, AIGC quality restoration, quality assessment, and predefined prompt templates to enhance LLM’s understanding of veImageX features.
Where to use
mcp-imagex can be used in fields such as artificial intelligence, machine learning, and image processing, particularly where integration of image resources with language models is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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": {
"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"
}
}
}Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
