Scrapybara scrapybara mcp

Scrapybara scrapybara mcp avatar

by Scrapybara

A Model Context Protocol server for Scrapybara

What is Scrapybara scrapybara mcp

A Model Context Protocol server for Scrapybara. This server enables MCP clients such as Claude Desktop, Cursor, and Windsurf to interact with virtual Ubuntu desktops and take actions such as browsing the web, running code, and more.

Prerequisites

  • Node.js 18+
  • pnpm
  • Scrapybara API key (get one at scrapybara.com)

Installation

  1. Clone the repository:
git clone https://github.com/scrapybara/scrapybara-mcp.git
cd scrapybara-mcp
  1. Install dependencies:
pnpm install
  1. Build the project:
pnpm build
  1. Add the following to your MCP client config:
{
  "mcpServers": {
    "scrapybara-mcp": {
      "command": "node",
      "args": ["path/to/scrapybara-mcp/dist/index.js"],
      "env": {
        "SCRAPYBARA_API_KEY": "<YOUR_SCRAPYBARA_API_KEY>",
        "ACT_MODEL": "<YOUR_ACT_MODEL>", // "anthropic" or "openai"
        "AUTH_STATE_ID": "<YOUR_AUTH_STATE_ID>" // Optional, for authenticating the browser
      }
    }
  }
}
  1. Restart your MCP client and you're good to go!

Tools

  • start_instance - Start a Scrapybara Ubuntu instance. Use it as a desktop sandbox to access the web or run code. Always present the stream URL to the user afterwards so they can watch the instance in real time.
  • get_instances - Get all running Scrapybara instances.
  • stop_instance - Stop a running Scrapybara instance.
  • bash - Run a bash command in a Scrapybara instance.
  • act - Take action on a Scrapybara instance through an agent. The agent can control the instance with mouse/keyboard and bash commands.

Contributing

Scrapybara MCP is a community-driven project. Whether you're submitting an idea, fixing a typo, adding a new tool, or improving an existing one, your contributions are greatly appreciated!

Before contributing, read through the existing issues and pull requests to see if someone else is already working on something similar. That way you can avoid duplicating efforts.

If there are more tools or features you'd like to see, feel free to suggest them on the issues page.

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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