by kazuph
Fetch with Images integrates web scraping and image compresser com tools to scrape any website and optimize images effic
Fetches web content and converts it to markdown while extracting and optimizing images from pages. Returns up to 3 images combined into a single JPEG with Base64 encoding.
Fetch with Images is a community-built MCP server published by kazuph that provides AI assistants with tools and capabilities via the Model Context Protocol. Fetch with Images integrates web scraping and image compresser com tools to scrape any website and optimize images effic It is categorized under search web. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
You can install Fetch with Images in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Fetch with Images is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
I recommend Fetch with Images for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Fetch with Images reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Fetch with Images is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Fetch with Images into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Fetch with Images has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Fetch with Images against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Fetch with Images is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Fetch with Images against two servers with overlapping tools; this profile had the clearer scope statement.
Fetch with Images has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Fetch with Images benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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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.
<a href="https://glama.ai/mcp/servers/5mknfdhyrg"><img width="380" height="200" src="https://glama.ai/mcp/servers/5mknfdhyrg/badge" alt="@kazuph/mcp-fetch MCP server" /></a>
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.
This accessibility setting is required for automated clipboard operations (Cmd+V) to work properly.
enableFetchImages: true)~/Downloads/mcp-fetch/YYYY-MM-DD/ directory when processedThe following sections are for those who want to develop or modify the tool.
npm install -g tsx)git clone https://github.com/kazuph/mcp-fetch.git
cd mcp-fetch
npm install
npm run build
When processing images from web content, the following optimizations are applied:
Make sure Claude Desktop is installed and running.
Install tsx globally if you haven't:
npm install -g tsx
# or
pnpm add -g tsx
~/Library/Application Support/Claude/claude_desktop_config.jsonYou can easily find this through the Claude Desktop menu:
Add the following to your MCP client's configuration:
{
"tools": {
"imageFetch": {
"args": ["tsx", "/path/to/mcp-fetch/index.ts"]
}
}
}
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!!!!!allowCrossOriginImages (default: true): When true, also fetch images hosted on different origins from the pagesaveImages (default: true): Save processed images to local filesreturnBase64 (default: false): Return base64 encoded images for AI displayignoreRobotsTxt (default: false): Ignore robots.txt restrictionshttp:// and https:// URLs are allowed for page and image fetcheslocalhost, .local)MCP_FETCH_TIMEOUT_MS)Environment variables:
MCP_FETCH_TIMEOUT_MS (default: 12000)MCP_FETCH_MAX_REDIRECTS (default: 3)MCP_FETCH_MAX_HTML_BYTES (default: 2000000)MCP_FETCH_MAX_IMAGE_BYTES (default: 10000000){
"url": "https://example.com"
}
{
"url": "https://example.com",
"enableFetchImages": true,
"imageMaxCount": 3
}
{
"url": "https://example.com",
"enableFetchImages": true,
"returnBase64": true,
"imageMaxCount": 3
}
{
"url": "https://example.com",
"enableFetchImages": true,
"imageStartIndex": 3,
"imageMaxCount": 3
}
~/Downloads/mcp-fetch/YYYY-MM-DD/ with filename format hostname_HHMMSS_index.jpgfetch to imageFetch to avoid conflicts with native fetch functions.fetch to imageFetch to avoid conflicts~/Downloads/mcp-fetch/YYYY-MM-DD/ by defaultsaveImages parameter (default: true) to control file savingreturnBase64 parameter (default: false) for AI image displayenableFetchImages: false)disableImages in favor of enableFetchImages parameterInteract with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.