mcp-fetch
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Model Context Protocol server for fetching web content and processing images, designed for use with Claude Desktop or any MCP client.
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.
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
- 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
-
Make sure Claude Desktop is installed and running.
-
Install tsx globally if you haven't:
npm install -g tsx
# or
pnpm add -g tsx
- 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:
- Open Claude Desktop
- Click Claude on the Mac menu bar
- Click "Settings"
- 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 fetchmaxLength
(default: 20000): Maximum length of content to returnstartIndex
(default: 0): Starting position in contentimageStartIndex
(default: 0): Starting position for image collectionraw
(default: false): Return raw content instead of processed markdownimageMaxCount
(default: 3): Maximum number of images to process per requestimageMaxHeight
(default: 4000): Maximum height of merged imageimageMaxWidth
(default: 1000): Maximum width of merged imageimageQuality
(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 filesreturnBase64
(default: false): Return base64 encoded images for AI displayignoreRobotsTxt
(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 formathostname_HHMMSS_index.jpg
- Tool Name: The tool name has been changed from
fetch
toimageFetch
to avoid conflicts with native fetch functions.
Changelog
v1.2.0
- BREAKING CHANGE: Tool name changed from
fetch
toimageFetch
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 ofenableFetchImages
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