Better Fetch

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Better Fetch - Advanced Web Content MCP Server

A powerful Model Context Protocol (MCP) server that intelligently fetches and processes web content with nested URL crawling capabilities. Transform any documentation site or web resource into clean, structured markdown files perfect for AI consumption and analysis.

🚀 Key Features

🕸️ Smart Web Crawling

Nested URL Fetching: Automatically discovers and crawls linked pages up to configurable depth
Single Page Mode: Option for simple single-page content extraction
Domain Filtering: Stay within the same domain or allow cross-domain crawling
Pattern Matching: Include/exclude URLs based on regex patterns

🧠 Intelligent Content Processing

Content Cleaning: Removes ads, navigation, scripts, and other noise automatically
Smart Section Detection: Identifies main content areas (<main>, <article>, .content)
Automatic Titles: Generates meaningful section headers based on page titles and URL structure
Table of Contents: Creates organized TOC with proper nesting

📝 Advanced Markdown Generation

Clean Formatting: Converts HTML to well-structured markdown
Code Block Preservation: Maintains formatting for code snippets and technical content
Link Preservation: Keeps all important links with proper markdown syntax
Metadata Integration: Includes source URLs, generation timestamps, and site information

⚙️ Highly Configurable

Crawl Depth Control: Set maximum levels to crawl (default: 2)
Page Limits: Control maximum pages to process (default: 50)
Timeout Settings: Configurable request timeouts
Respectful Crawling: Built-in delays between requests
Error Handling: Graceful handling of failed requests and invalid URLs

📋 Available Tools

1. `fetch_website_nested`

Comprehensive web crawling with nested URL processing.

Parameters:

url (required): Starting URL to crawl
maxDepth (optional, default: 2): Maximum crawl depth
maxPages (optional, default: 50): Maximum pages to process
sameDomainOnly (optional, default: true): Restrict to same domain
excludePatterns (optional): Array of regex patterns to exclude
includePatterns (optional): Array of regex patterns to include
timeout (optional, default: 10000): Request timeout in milliseconds

2. `fetch_website_single`

Simple single-page content extraction.

Parameters:

url (required): URL to fetch
timeout (optional, default: 10000): Request timeout in milliseconds

💡 Use Cases

📚 Documentation Processing

API Documentation: Convert REST API docs, SDK guides, and technical references
Framework Docs: Process React, Vue, Angular, or any framework documentation
Library Guides: Extract comprehensive guides from library documentation sites
Tutorial Series: Gather multi-part tutorials into single organized documents

🔍 Content Analysis & Research

Competitive Analysis: Gather competitor documentation and feature descriptions
Market Research: Extract product information from multiple related pages
Academic Research: Collect and organize web-based research materials
Knowledge Base Creation: Transform scattered web content into structured knowledge bases

🤖 AI Training & Context

LLM Context Preparation: Create clean, structured content for AI model training
RAG System Input: Generate high-quality documents for Retrieval-Augmented Generation
Chatbot Knowledge: Build comprehensive knowledge bases for customer service bots
Content Summarization: Prepare web content for automated summarization tasks

🛠️ Installation & Setup

Installing via Smithery

To install Better Fetch for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @flutterninja9/better-fetch --client claude

Prerequisites

Node.js 18+
npm or yarn
MCP-compatible client (Claude Desktop, VS Code with MCP extension, etc.)

Step 1: Clone and Install

git clone https://github.com/yourusername/better-fetch.git
cd better-fetch
npm install

Step 2: Build the Project

npm run build

Step 3: Test the Server (Optional)

# Quick test
npm run dev

# Or run comprehensive tests
node test-mcp.js

Step 4: Configure Your MCP Client

For Claude Desktop:

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "better-fetch": {
      "command": "node",
      "args": ["/absolute/path/to/better-fetch/dist/server.js"],
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}

For VS Code MCP Extension:

{
  "better-fetch": {
    "command": "node",
    "args": ["/Users/yourusername/better-fetch/dist/server.js"]
  }
}

For Custom MCP Client:

{
  "name": "better-fetch",
  "command": "node",
  "args": ["/path/to/better-fetch/dist/server.js"],
  "stdio": true
}

📖 Usage Examples

Basic Documentation Crawling

Fetch all the web contents from this Flutter Shadcn UI documentation site:
https://flutter-shadcn-ui.mariuti.com/

Use nested fetching with a maximum depth of 3 levels and process up to 100 pages.

Advanced Configuration

Fetch content from the React documentation but exclude any URLs containing 'api' or 'reference' and only process pages containing 'tutorial' or 'guide':

URL: https://react.dev
Max Depth: 2
Exclude Patterns: ["/api/", "/reference/"]
Include Patterns: ["/tutorial/", "/guide/"]
Max Pages: 30

Single Page Extraction

Extract the content from this specific page only:
https://nextjs.org/docs/getting-started/installation

Use single page mode to avoid crawling related links.

📄 Sample Output

The server generates comprehensive markdown files with the following structure:

# Site Name Documentation

*Scraped from: https://example.com*
*Generated on: 2024-01-15T10:30:00.000Z*

## Table of Contents

- [Getting Started](#getting-started)
  - [Installation](#installation)
  - [Quick Start](#quick-start)
- [API Reference](#api-reference)
  - [Core Functions](#core-functions)

---

## Getting Started

*Source: [https://example.com/getting-started](https://example.com/getting-started)*

[Clean markdown content here...]

---

## Installation

*Source: [https://example.com/installation](https://example.com/installation)*

[Installation instructions in markdown...]

For a complete example, refer to output.md which demonstrates the server's output when processing a real documentation site.

🔧 Development

Project Structure

better-fetch/
├── src/
│   └── server.ts          # Main server implementation
├── dist/                 # Compiled JavaScript
├── test-mcp.js          # Testing utilities
├── output.md            # Sample output file
├── package.json
├── tsconfig.json
└── README.md

Available Scripts

npm run dev          # Run in development mode with hot reload
npm run build        # Compile TypeScript to JavaScript
npm run start        # Run the compiled server
npm run clean        # Clean dist directory
npm test             # Run test suite

Testing Your Changes

# Interactive testing
node interactive-test.js

# Automated test suite
node test-mcp.js

# Manual JSON-RPC testing
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js

🚦 Performance & Limits

Default Limits

Max Depth: 2 levels (configurable)
Max Pages: 50 pages (configurable)
Request Timeout: 10 seconds (configurable)
Crawl Delay: 500ms between requests (respectful crawling)

Performance Tips

Set appropriate maxPages limits for large sites
Use includePatterns to focus on relevant content
Enable sameDomainOnly to avoid external link crawling
Adjust timeout based on target site response times

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

Fork the repository
Create a feature branch: git checkout -b feature/amazing-feature
Make your changes and add tests
Commit your changes: git commit -m 'Add amazing feature'
Push to the branch: git push origin feature/amazing-feature
Open a Pull Request

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support & Issues

Bug Reports: GitHub Issues
Feature Requests: GitHub Discussions
Documentation: Check the Wiki

🙏 Acknowledgments

Built with the Model Context Protocol SDK
Powered by Cheerio for HTML parsing
Markdown conversion by Turndown

Made with ❤️ for the AI and developer community

This server cannot be installed

security - not tested

license - not found

quality - not tested

A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.

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