Hyperbrowser MCP Server

What does “Hyperbrowser” MCP Server do?

The Hyperbrowser MCP (Model Context Protocol) Server is designed to bridge AI assistants with external data sources, APIs, and services, streamlining development workflows. As an MCP server implementation for Hyperbrowser, it facilitates seamless access to databases, files, and external APIs, empowering developers and AI agents to fetch, manage, and act upon real-world data within their applications. By integrating with the Hyperbrowser ecosystem, this server enables tasks such as querying databases, managing files, or triggering computations, thus enhancing the capabilities of AI-driven tools and workflows. Its flexible architecture allows easy deployment and integration, making it a valuable asset for anyone aiming to build smarter, context-aware AI applications.

List of Prompts

No information about prompt templates is available in the repository.

List of Resources

No specific resources are listed in the available repository information.

List of Tools

No explicit tool definitions are provided in the available repository files or documentation.

Use Cases of this MCP Server

No specific use cases are described in the repository.

How to set it up

Windsurf

1. Ensure you have Node.js installed as a prerequisite.
2. Locate the configuration file for Windsurf (e.g., config.json).
3. Add the Hyperbrowser MCP Server to your mcpServers section with a JSON snippet.
4. Save the configuration and restart Windsurf.
5. Verify that the Hyperbrowser MCP Server is running.

Example JSON configuration:

{
  "mcpServers": {
    "hyperbrowser-mcp": {
      "command": "npx",
      "args": ["@hyperbrowserai/mcp@latest"]
    }
  }
}

Claude

1. Install Node.js if not already present.
2. Open Claude’s configuration file.
3. Add the Hyperbrowser MCP Server using the JSON format.
4. Save changes and restart Claude.
5. Check server logs for successful connection.

Example JSON configuration:

{
  "mcpServers": {
    "hyperbrowser-mcp": {
      "command": "npx",
      "args": ["@hyperbrowserai/mcp@latest"]
    }
  }
}

Cursor

1. Make sure Node.js is installed.
2. Edit Cursor’s configuration file.
3. Add the Hyperbrowser MCP Server entry as shown below.
4. Save the configuration.
5. Restart Cursor and verify connectivity.

Example JSON configuration:

{
  "mcpServers": {
    "hyperbrowser-mcp": {
      "command": "npx",
      "args": ["@hyperbrowserai/mcp@latest"]
    }
  }
}

Cline

1. Confirm Node.js is installed on your system.
2. Access the Cline configuration file.
3. Insert the Hyperbrowser MCP Server into the mcpServers object.
4. Save the changes and restart Cline.
5. Ensure the MCP server is accessible.

Example JSON configuration:

{
  "mcpServers": {
    "hyperbrowser-mcp": {
      "command": "npx",
      "args": ["@hyperbrowserai/mcp@latest"]
    }
  }
}

Securing API Keys using Environment Variables To securely handle API keys, use environment variables in your configuration.

Example configuration:

{
  "mcpServers": {
    "hyperbrowser-mcp": {
      "command": "npx",
      "args": ["@hyperbrowserai/mcp@latest"],
      "env": {
        "API_KEY": "${API_KEY}"
      },
      "inputs": {
        "apiKey": "${API_KEY}"
      }
    }
  }
}

Note: Replace API_KEY with the actual environment variable containing your secure key.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "hyperbrowser-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “hyperbrowser-mcp” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Based on the available repository information, the Hyperbrowser MCP Server provides clear setup instructions for multiple platforms and follows best practices for configuration and security (API keys). However, the lack of documented tools, resources, prompts, and detailed use cases limits its immediate usability for new users or integrators.

MCP Score

Rating: 4/10 — While the repository is open-source and popular, the lack of documentation for tools, resources, prompts, and use cases significantly reduces its practical value for developers seeking to integrate or evaluate its capabilities.