Better Fetch

by flutterninja9

593 downloads
Not rated
GitHub

About

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.

Details

Author
flutterninja9
Downloads
593
Categories
Automation, Knowledge Base

- Smart web crawling with nested URL fetching and configurable depth
- Single page mode for simple content extraction
- Domain filtering and regex pattern matching
- Intelligent content cleaning that removes ads, navigation, and scripts
- Automatic generation of table of contents with proper nesting
- Clean markdown output with code block and link preservation
- Highly configurable crawl depth, page limits, and timeouts

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Better Fetch
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Clone the repository, run npm install and npm run build, then configure your MCP client (e.g., Claude Desktop or VS Code MCP extension) with the path to dist/server.js. Use the tools fetch_website_nested for multi-page crawling or fetch_website_single for single-page extraction.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "better fetch": {
            "better-fetch": {
                "command": "node",
                "args": [
                    "test-mcp.js"
                ]
            }
        }
    }
}

McpServers

{
    "better-fetch": {
        "command": "node",
        "args": [
            "test-mcp.js"
        ]
    }
}

Better Fetch - Advanced Web Content MCP Server

License: MIT TypeScript Node.js 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

Prerequisites

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

Step 1: Clone and Install

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

Step 2: Build the Project

`bash npm run build `

Step 3: Test the Server (Optional)

``bash
No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.