Fetch Featured
Contribute to smithery-ai/mcp-fetch development by creating an account on GitHub.
smithery-ai
README
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": {
"fetch": {
"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.
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
Installing via Smithery
To install MCP Fetch for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kazuph/mcp-fetch --client claude
Manual 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 limits are applied:
- Maximum 6 images per group
- Maximum height of 8000 pixels per group
- Maximum size of 30MB per group
If content exceeds these limits, images will be automatically split into multiple groups, and you'll need to paste (Cmd+V) multiple times.
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": {
"fetch": {
"args": ["tsx", "/path/to/mcp-fetch/index.ts"]
}
}
}
Available Tools
fetch: Retrieves URLs from the Internet and extracts their content as markdown. Images are automatically processed and prepared for clipboard operations.
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.
Recommended Servers
React MCP
react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts
Mult Fetch MCP Server
A versatile MCP-compliant web content fetching tool that supports multiple modes (browser/node), formats (HTML/JSON/Markdown/Text), and intelligent proxy detection, with bilingual interface (English/Chinese).
AIO-MCP Server
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from
Persistent Knowledge Graph
An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.
Hyperbrowser MCP Server
Welcome to Hyperbrowser, the Internet for AI. Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. Built specifically for AI developers, it eliminates the headaches of local infrastructure and performance bottlenecks, allowing you to
Fetch MCP Server
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.
Search1API MCP Server
A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API.
OpenRouter MCP Server
Provides integration with OpenRouter.ai, allowing access to various AI models through a unified interface.
Perplexity Deep Research
A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.
Docx Document Processing Service
A powerful Word document processing service based on FastMCP, enabling AI assistants to create, edit, and manage docx files with full formatting support. Preserves original styles when editing content.