Hyperbrowser MCP Server

This is Hyperbrowser's Model Context Protocol (MCP) Server. It provides various tools to scrape, extract structured data, and crawl webpages. It also provides easy access to general purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use.

More information about the Hyperbrowser can be found here. The hyperbrowser API supports a superset of features present in the mcp server.

More information about the Model Context Protocol can be found here.

Table of Contents

• Installation
• Usage
• Tools
• Configuration
• License

Installation

To install the server, run:

npx hyperbrowser-mcp <YOUR-HYPERBROWSER-API-KEY>

Running on Cursor

Add to ~/.cursor/mcp.json like this:

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["-y", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}

Running on Windsurf

Add to your ./codeium/windsurf/model_config.json like this:

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["-y", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}

Development

For development purposes, you can run the server directly from the source code.

1. Clone the repository:

   git clone git@github.com:hyperbrowserai/mcp.git hyperbrowser-mcp
   cd hyperbrowser-mcp
   

2. Install dependencies:

   npm install # or yarn install
   npm run build
   

3. Run the server:

   node dist/server.js
   

Claude Desktop app

This is an example config for the Hyperbrowser MCP server for the Claude Desktop client.

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["--yes", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "your-api-key" // or set the param in the prompt itself
      }
    }
  }
}

Tools

• scrape_webpage - Extract formatted (markdown, screenshot etc) content from any webpage
• crawl_webpages - Navigate through multiple linked pages and extract LLM-friendly formatted content
• extract_structured_data - Convert messy HTML into structured JSON
• search_with_bing - Query the web and get results with Bing search
• browser_use_agent - Fast, lightweight browser automation with the Browser Use agent
• openai_computer_use_agent - General-purpose automation using OpenAI’s CUA model
• claude_computer_use_agent - Complex browser tasks using Claude computer use

Resources

The server provides the documentation about hyperbrowser through the resources methods. Any client which can do discovery over resources has access to it.

License

This project is licensed under the MIT License.