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MCP Image Extractor

@ifmelate

リポジトリ

基本情報

カテゴリ

メディアとデザイン

ライセンス

MIT

トランスポート

stdio

作者

ifmelate

MCP Image Extractor について

MCP server which allow LLM in agent mode to analyze image whenever it needs

#image-extractor#image-processing#base64-converter

MCP Image Extractor の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "image-extractor": {
      "command": "node",
      "args": [
        "/full/path/to/mcp-image-extractor/dist/index.js"
      ],
      "disabled": false
    }
  }
}

MCP Image Extractor のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Image Extractor?

MCP Image Extractor is a Model Context Protocol server that extracts images from local files, URLs, or base64-encoded data and converts them to base64 for analysis by AI assistants. It is designed for developers who need to pass visual information to large language models (LLMs) within MCP-compatible tools like Cursor.

How to use MCP Image Extractor?

Install the server via npx in your .cursor/mcp.json configuration file (recommended), or clone the repository and build locally. Once configured, the server exposes three tools (extract_image_from_file, extract_image_from_url, extract_image_from_base64) that AI assistants can call automatically when instructed to analyze an image.

Key features of MCP Image Extractor

  • Extract images from local file paths
  • Extract images from remote URLs
  • Process base64-encoded image data
  • Automatic resizing to maximum 512x512 pixels
  • Easy one-line install with npx
  • Docker support for containerized deployments

Use cases of MCP Image Extractor

  • Analyze Playwright test result screenshots
  • Pass images from URLs to an LLM for description
  • Decode and analyze base64 image data
  • Integrate image analysis into AI assistant workflows

よくある質問

1

What does MCP Image Extractor do?

It extracts images from local files, URLs, or base64 data and converts them to base64 so that an LLM (such as Claude) can analyze the visual content.

2

How do I install MCP Image Extractor?

The easiest method is to add a `npx -y mcp-image-extractor` command to your `.cursor/mcp.json` file. Alternatively, clone the repository, run `npm install && npm run build && npm link`, then reference the global command or the built file directly.

3

What tools does MCP Image Extractor provide?

It provides three tools: `extract_image_from_file` (accepts a `file_path`), `extract_image_from_url` (accepts a `url`), and `extract_image_from_base64` (accepts `base64` data and an optional `mime_type`).

4

Why are images resized to 512×512 pixels?

All extracted images are automatically resized to a maximum of 512×512 pixels to limit the base64 output size and optimize context‑window usage in LLM analysis.

5

How can I troubleshoot a “Failed to create client” error in Cursor?

If you see this error, try the local path installation method (pointing to the built `index.js` file) instead of the npx approach, or ensure the path to the executable is correct.

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