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Hyperbrowser

Organization
hyperbrowserai

A MCP server implementation for hyperbrowser

Publisherhyperbrowserai
Repositorymcp
LanguageTypeScript
Forks
68
Stars
761
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Hyperbrowser exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    761 stars and 68 forks from the linked repository.

Hyperbrowser MCP Server

smithery badge

Frame 5

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

Manual Installation

To install the server, run:

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

Running on Cursor

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

json
{
  "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:

json
{
  "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:

    sh
    git clone git@github.com:hyperbrowserai/mcp.git hyperbrowser-mcp
    cd hyperbrowser-mcp
  2. Install dependencies:

    sh
    npm install # or yarn install
    npm run build
  3. Run the server:

    sh
    node dist/server.js

Claude Desktop app

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

json
{
  "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:

bash
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.

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Use Hyperbrowser MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Hyperbrowser is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Hyperbrowser as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Hyperbrowser MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": [
        "-y",
        "hyperbrowser-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Hyperbrowser MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Hyperbrowser MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Hyperbrowser to help me with this task?
Hyperbrowser
Sure. I read it.
Here is what I found using Hyperbrowser.

Frequently asked questions

What is the Hyperbrowser MCP server used for?

Hyperbrowser is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Hyperbrowser MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Hyperbrowser with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Hyperbrowser MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Hyperbrowser connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Hyperbrowser MCP to TypingMind?

Hyperbrowser runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Hyperbrowser MCP provide in TypingMind?

Hyperbrowser exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Hyperbrowser MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Hyperbrowser requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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