What is the BrowserCat MCP Server?

The BrowserCat MCP Server is a Model Context Protocol (MCP) server that allows LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, enabling AI models to access and interact with external data sources and tools.

Do I need to install a browser locally to use the BrowserCat MCP Server?

No, the BrowserCat MCP Server uses a cloud-based browser service, eliminating the need for local browser installations.

What are some use cases for the BrowserCat MCP Server?

Use cases include web scraping, automated form filling, social media management, e-commerce automation, website testing, and content creation.

How do I configure the BrowserCat MCP Server?

You need to set the BROWSERCAT_API_KEY environment variable with your BrowserCat API key and configure the NPX settings as shown in the documentation.

Where can I get a BrowserCat API key?

You can obtain a free API key at https://browsercat.xyz/mcp.

What resources does the BrowserCat MCP Server provide access to?

The server provides access to console logs (browser console output) and screenshots (PNG images).

What is the license for the BrowserCat MCP Server?

The BrowserCat MCP Server is licensed under the MIT License.

How does UBOS integrate with BrowserCat MCP Server?

UBOS simplifies the integration, allowing you to connect your AI agents with BrowserCat MCP Server with minimal effort, enabling you to build and deploy web-aware AI agents quickly.

What kind of tools does BrowserCat MCP Server offer?

It offers tools like browsercat_navigate, browsercat_screenshot, browsercat_click, browsercat_hover, browsercat_fill, browsercat_select, and browsercat_evaluate for web interaction and automation.