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Mcp Fetch

Mcp Fetch

Created by kazuph•a day ago
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Automation & Scripting

MCP Fetch

Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.

@kazuph/mcp-fetch MCP server

Quick Start (For Users)

To use this tool with Claude Desktop, simply add the following to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "tools": {
    "imageFetch": {
      "command": "npx",
      "args": ["-y", "@kazuph/mcp-fetch"]
    }
  }
}

This will automatically download and run the latest version of the tool when needed.

Required Setup

  1. Enable Accessibility for Claude:
    • Open System Settings
    • Go to Privacy & Security > Accessibility
    • Click the “+” button
    • Add Claude from your Applications folder
    • Turn ON the toggle for Claude

This accessibility setting is required for automated clipboard operations (Cmd+V) to work properly.

Features

  • Web Content Extraction: Automatically extracts and formats web content as markdown
  • Article Title Extraction: Extracts and displays the title of the article
  • Image Processing: Optional processing of images from web pages with optimization (disabled by default, enable with enableFetchImages: true)
  • File Saving: Images are automatically saved to ~/Downloads/mcp-fetch/YYYY-MM-DD/ directory when processed
  • Dual Output: Both file saving and optional Base64 encoding for AI display
  • Pagination Support: Supports pagination for both text and images
  • JPEG Optimization: Automatically optimizes images as JPEG for better performance
  • GIF Support: Extracts first frame from animated GIFs

For Developers

The following sections are for those who want to develop or modify the tool.

Prerequisites

  • Node.js 18+
  • macOS (for clipboard operations)
  • Claude Desktop (install from https://claude.ai/desktop)
  • tsx (install via npm install -g tsx)

Installation

git clone https://github.com/kazuph/mcp-fetch.git
cd mcp-fetch
npm install
npm run build

Image Processing Specifications

When processing images from web content, the following optimizations are applied:

  • Images are converted to JPEG format with quality control
  • Maximum width limited to 1200px by default
  • Maximum height limited to 1600px by default
  • Chroma subsampling (4:2:0) for better compression
  • MozJPEG optimization for smaller file sizes

Configuration

  1. Make sure Claude Desktop is installed and running.

  2. Install tsx globally if you haven’t:

npm install -g tsx
## or
pnpm add -g tsx
  1. Modify your Claude Desktop config located at: ~/Library/Application Support/Claude/claude_desktop_config.json

You can easily find this through the Claude Desktop menu:

  1. Open Claude Desktop
  2. Click Claude on the Mac menu bar
  3. Click “Settings”
  4. Click “Developer”

Add the following to your MCP client’s configuration:

{
  "tools": {
    "imageFetch": {
      "args": ["tsx", "/path/to/mcp-fetch/index.ts"]
    }
  }
}

Available Parameters

  • url (required): The URL to fetch
  • maxLength (default: 20000): Maximum length of content to return
  • startIndex (default: 0): Starting position in content
  • imageStartIndex (default: 0): Starting position for image collection
  • raw (default: false): Return raw content instead of processed markdown
  • imageMaxCount (default: 3): Maximum number of images to process per request
  • imageMaxHeight (default: 4000): Maximum height of merged image
  • imageMaxWidth (default: 1000): Maximum width of merged image
  • imageQuality (default: 80): JPEG quality (1-100)
  • enableFetchImages (default: false): Enable fetching and processing of images. FOR CLAUDE USERS ONLY: YOU ARE ALLOWED TO ENABLE THIS FEATURE!!! CLAUDE CAN FETCH AND PROCESS IMAGES!!! ENJOY THIS CAPABILITY!!!
  • saveImages (default: true): Save processed images to local files
  • returnBase64 (default: false): Return base64 encoded images for AI display
  • ignoreRobotsTxt (default: false): Ignore robots.txt restrictions

Examples

Basic Content Fetching (No Images)

{
  "url": "https://example.com"
}

Fetching with Images (File Saving Only)

{
  "url": "https://example.com",
  "enableFetchImages": true,
  "imageMaxCount": 3
}

Fetching with Images for AI Display

{
  "url": "https://example.com",
  "enableFetchImages": true,
  "returnBase64": true,
  "imageMaxCount": 3
}

Paginating Through Images

{
  "url": "https://example.com",
  "enableFetchImages": true,
  "imageStartIndex": 3,
  "imageMaxCount": 3
}

Notes

  • This tool is designed for macOS only due to its dependency on macOS-specific clipboard operations.
  • Images are processed using Sharp for optimal performance and quality.
  • When multiple images are found, they are merged vertically with consideration for size limits.
  • Animated GIFs are automatically handled by extracting their first frame.
  • File Saving: Images are automatically saved to ~/Downloads/mcp-fetch/YYYY-MM-DD/ with filename format hostname_HHMMSS_index.jpg
  • Tool Name: The tool name has been changed from fetch to imageFetch to avoid conflicts with native fetch functions.

Changelog

v1.2.0

  • BREAKING CHANGE: Tool name changed from fetch to imageFetch to avoid conflicts
  • NEW: Automatic file saving - Images are now saved to ~/Downloads/mcp-fetch/YYYY-MM-DD/ by default
  • NEW: Added saveImages parameter (default: true) to control file saving
  • NEW: Added returnBase64 parameter (default: false) for AI image display
  • BEHAVIOR CHANGE: Default behavior now saves files instead of only returning base64
  • Improved AI assistant integration with clear instructions for base64 option
  • Enhanced file organization with date-based directories and structured naming

v1.1.3

  • Changed default behavior: Images are not fetched by default (enableFetchImages: false)
  • Removed disableImages in favor of enableFetchImages parameter

v1.1.0

  • Added article title extraction feature
  • Improved response formatting to include article titles
  • Fixed type issues with MCP response content

v1.0.0

  • Initial release
  • Web content extraction
  • Image processing and optimization
  • Pagination support

Prerequisites

  • •Familiarity with the server domain
  • •Basic understanding of related technologies
  • •Knowledge of Automation & Scripting

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Details

Created

August 02, 2025

Last Updated

August 02, 2025

Category

Automation & Scripting

Author

kazuph

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