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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

Related MCP server: MCP Image Recognition Server

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

One-click Deploy
A
security – no known vulnerabilities
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license - permissive license
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quality - confirmed to work

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