Hyperbrowser

Provides data scraping, structured data extraction, and web crawling through MCP clients with browser-use agents.

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

Hyperbrowser MCP Server provides tooling to scrape, extract structured data, and crawl web content, while offering access to browser-use agents. You can run it locally or integrate it with MCP clients to enable automated web data extraction and navigation workflows.

How to use

You use the Hyperbrowser MCP Server by connecting it to an MCP client or integration that can load and run an MCP server. The server exposes tools to scrape pages, extract structured data, and crawl through linked content. Use it to build workflows that fetch web data, convert it into structured formats, and drive automated browsing tasks with browser-use agents.

How to install

Prerequisites you need before installation: Node.js is required to run MCP servers that use npm or npx.

Install the Hyperbrowser MCP Server locally by running the following command in your terminal, replacing YOUR-API-KEY with your actual API key:

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

Configuration notes

You can enable the MCP server in your environment by providing the API key via an environment variable when launching through supported MCP client integrations. The typical configuration carries the API key as HYPERBROWSER_API_KEY.

Example configurations for client integrations show using a standard npx invocation with the API key passed through environment variables.

Available tools

scrape_webpage

Extract formatted content such as markdown or screenshots from a single webpage.

crawl_webpages

Navigate through multiple linked pages to gather and format data for large-scale scraping tasks.

extract_structured_data

Convert messy HTML into clean, structured JSON data for downstream processing.

search_with_bing

Query the web using Bing and return results for integration into workflows.

browser_use_agent

Perform fast, lightweight browser automation using the Browser Use agent.

openai_computer_use_agent

Automate general browser tasks with OpenAI’s CUA model.

claude_computer_use_agent

Handle complex browser tasks using Claude’s computer use capabilities.

create_profile

Create a persistent Hyperbrowser profile for session continuity.

delete_profile

Remove an existing persistent Hyperbrowser profile.

list_profiles

List all existing persistent Hyperbrowser profiles.