Image Analysis MCP Server

Integrations

  • 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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remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A server that accepts image URLs and nestles their content using GPT-4-turbo, enabling Claude AI assistants to understand and describe images through natural language.

  1. 機能
    1. インストール
      1. 設定
        1. MCPサーバーの設定
          1. VSCode Claude拡張機能の場合
          2. Claude Desktop Appの場合
        2. 使用方法
          1. 使用例
        3. 開発
          1. ライセンス
            ID: uug1tjrb8o