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: Letz AI MCP

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