veImageX MCP
@volcengine
About veImageX MCP
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}Tools
No tools detected
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
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.
Frequently asked questions
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.
Basic information
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