MCP ExplorerExplorer

Fetch Browser

@TheSethRoseon a year ago
8 MIT
FreeCommunity
AI Systems
#automation#headless-browser#mcp#mcp-server
A powerful headless browser MCP server that enables AI agents to fetch web content and perform Google searches without requiring any API keys.

Overview

What is Fetch Browser

Fetch-Browser is a powerful headless browser MCP server that allows AI agents to fetch web content and perform Google searches without the need for API keys. It is built with modern web standards for seamless integration with AI platforms.

Use cases

Use cases for Fetch-Browser include automating web content retrieval for AI applications, performing structured Google searches for data extraction, and converting web content into various formats for further processing.

How to use

To use Fetch-Browser, install it via Smithery CLI or manually by cloning the repository and running the server. You can execute Google searches or fetch content from any URL using the provided tools, specifying the desired response format.

Key features

Key features include no API keys required, smart Google search capabilities, universal content fetching from any webpage or API endpoint, multiple output formats (HTML, JSON, Text, Markdown), automatic content type detection, and robust error handling.

Where to use

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Content

Fetch Browser

A powerful headless browser MCP server that enables AI agents to fetch web content and perform Google searches without requiring any API keys. Built with modern web standards and designed for seamless integration with AI platforms.

Features

  • No API Keys Required: Uses a sophisticated headless browser approach to fetch content directly

  • Smart Google Search:

    • Extract structured results from Google searches
    • Support for both web and news results
    • Configurable number of results (1-100)
    • Full content fetching of search results
    • Automatic retry and error handling
  • Universal Content Fetching:

    • Support for any webpage or API endpoint
    • Multiple output formats (HTML, JSON, Text, Markdown)
    • Automatic content type detection
    • Response size limits and timeout protection
    • Rate limiting protection
  • Format Conversion:

    • Clean HTML to Markdown conversion
    • Pretty-printed JSON responses
    • Structured HTML output
    • Plain text with proper formatting

Tools

1. Google Search Tool (google_search)

Executes Google searches and fetches full content of results:

{
  query: "your search query",
  responseType: "markdown", // or "json", "html", "text"
  maxResults: 10,          // 1-100 results
  topic: "web"            // or "news"
}

2. URL Fetcher Tool (fetch_url)

Fetches content from any URL:

{
  url: "https://example.com",
  responseType: "markdown", // or "json", "html", "text"
  timeout: 30000          // optional, in milliseconds
}

Installation

Via Smithery

# For Claude
npx -y @smithery/cli install @TheSethRose/fetch-browser --client claude

# For Cursor
npx -y @smithery/cli install @TheSethRose/fetch-browser --client cursor

# For TypeScript
npx -y @smithery/cli install @TheSethRose/fetch-browser --client typescript

Manual Installation

# Clone the repository
git clone https://github.com/TheSethRose/fetch-browser.git
cd fetch-browser

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

Development

# Watch mode with auto-rebuild
npm run watch

# Run with inspector
npm run inspector

# Debug mode
npm run debug

# Debug with watch mode
npm run debug:watch

Response Formats

1. Markdown Format

## [Page Title](https://example.com)

Content converted to clean markdown with:
- Lists
- **Bold text**
- *Italic text*
- [Links](https://example.com)

2. JSON Format

{
  "url": "https://example.com",
  "content": "Extracted content...",
  "error": null
}

3. HTML Format

<div class="search-result">
  <h2><a href="https://example.com">Page Title</a></h2>
  <div class="content">
    Original HTML content
  </div>
</div>

4. Text Format

### https://example.com

Plain text content with preserved formatting
==========

Error Handling

  • Automatic retries with exponential backoff
  • Rate limiting protection
  • Timeout handling
  • Detailed error messages
  • Individual result error tracking

Security Features

  • Response size limits
  • Request timeouts
  • Rate limiting protection
  • No API keys or secrets required
  • Proper error handling

Credits

Created by Seth Rose:

License

MIT License - See LICENSE for details

Tools

No tools

Comments

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