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Hyperbrowser MCP Server

by hyperbrowserai

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About

Hyperbrowser MCP Server is a web automation and data extraction platform that enables AI assistants to interact with web content through browser agents and scraping tools. It provides a comprehensive suite of utilities for extracting, structuring, and navigating web data. Key features of Hyperbrowser MCP Server: - Scrape webpage content in multiple formats including markdown and screenshots - Crawl multiple linked pages to extract LLM-friendly structured content - Convert unstructured HTML into structured JSON data - Execute web searches via Bing - Access pre-configured browser agents including OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use for task-specific automation - Create persistent browser profiles for stateful browsing sessions

README

Hyperbrowser MCP Server

[](https://smithery.ai/server/@hyperbrowserai/mcp)

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

    Manual Installation

    To install the server, run:

    npx hyperbrowser-mcp 
    

    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"
          }
        }
      }
    }
    

    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
  • create_profile - Creates a new persistent Hyperbrowser profile.
  • delete_profile - Deletes an existing persistent Hyperbrowser profile.
  • list_profiles - Lists existing persistent Hyperbrowser profiles.
  • Installing via Smithery

    To install Hyperbrowser MCP Server for Claude Desktop automatically via Smithery:

    npx -y @smithery/cli install @hyperbrowserai/mcp --client claude
    

    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.

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