A
securityA
licenseA
qualityA MCP server that enables Claude and other MCP-compatible assistants to generate images from text prompts using Together AI's image generation models.
Last updated -
4
MIT License
Utilizes GPT-4-turbo model to analyze and provide detailed descriptions of images from URLs
image-mcp-server
This is an MCP server that receives an image URL and analyzes the image content using the GPT-4o-mini model.
function
Takes an image URL as input and performs detailed analysis of the image's content
High-precision image recognition and explanation using the GPT-4o-mini model
Image URL validity check function
install
# リポジトリをクローン
git clone https://github.com/champierre/image-mcp-server.git
cd image-mcp-server
# 依存パッケージのインストール
npm install
# TypeScriptのコンパイル
npm run build
setting
To use this server, you will need an OpenAI API key, so set the following environment variables:
OPENAI_API_KEY=your_openai_api_key
Configuring the MCP Server
To use it with tools like Cline, add the following to your MCP server configuration file:
For VSCode Claude extension
Add the following to cline_mcp_settings.json :
{
"mcpServers": {
"image-analysis": {
"command": "node",
"args": ["/path/to/image-mcp-server/dist/index.js"],
"env": {
"OPENAI_API_KEY": "your_openai_api_key"
},
"disabled": false,
"autoApprove": []
}
}
}
Claude Desktop App
Add the following to claude_desktop_config.json :
{
"mcpServers": {
"image-analysis": {
"command": "node",
"args": ["/path/to/image-mcp-server/dist/index.js"],
"env": {
"OPENAI_API_KEY": "your_openai_api_key"
},
"disabled": false,
"autoApprove": []
}
}
}
How to use
Once an MCP server is configured, the following tools are available:
analyze_image: Takes an image URL and analyzes its content
Usage Example
画像URLを分析してください: https://example.com/image.jpg
development
# 開発モードで実行
npm run dev
license
ISC
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