BrowserCat logo

BrowserCat

Organization
browsercat

Enables LLMs to interact with web pages through cloud-based browser automation for navigation, screenshot capture, element interaction, and JavaScript execution without local browser installation.

Publisherbrowsercat
Repositorybrowsercat-mcp-server
LanguageTypeScript
Forks
8
Stars
5
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    BrowserCat 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

    5 stars and 8 forks from the linked repository.

BrowserCat MCP Server

A Model Context Protocol server that provides browser automation capabilities using BrowserCat's cloud browser service. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.

Components

Tools

  • browsercat_navigate
    • Navigate to any URL in the browser
    • Input: url (string)
  • browsercat_screenshot
    • Capture screenshots of the entire page or specific elements
    • Inputs:
      • name (string, required): Name for the screenshot
      • selector (string, optional): CSS selector for element to screenshot
      • width (number, optional, default: 800): Screenshot width
      • height (number, optional, default: 600): Screenshot height
  • browsercat_click
    • Click elements on the page
    • Input: selector (string): CSS selector for element to click
  • browsercat_hover
    • Hover elements on the page
    • Input: selector (string): CSS selector for element to hover
  • browsercat_fill
    • Fill out input fields
    • Inputs:
      • selector (string): CSS selector for input field
      • value (string): Value to fill
  • browsercat_select
    • Select an option from a dropdown menu
    • Inputs:
      • selector (string): CSS selector for select element
      • value (string): Value to select
  • browsercat_evaluate
    • Execute JavaScript in the browser console
    • Input: script (string): JavaScript code to execute

Resources

The server provides access to two types of resources:

  1. Console Logs (console://logs)
    • Browser console output in text format
    • Includes all console messages from the browser
  2. Screenshots (screenshot://<name>)
    • PNG images of captured screenshots
    • Accessible via the screenshot name specified during capture

Key Features

  • Cloud-based browser automation
  • No local browser installation required
  • Console log monitoring
  • Screenshot capabilities
  • JavaScript execution
  • Basic web interaction (navigation, clicking, form filling)

Configuration to use BrowserCat MCP Server

Environment Variables

The BrowserCat MCP server requires the following environment variable:

NPX Configuration

json
{
  "mcpServers": {
    "browsercat": {
      "command": "npx",
      "args": ["-y", "@browsercatco/mcp-server"],
      "env": {
        "BROWSERCAT_API_KEY": "your-api-key-here"
      }
    }
  }
}

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "browsercat": {
      "command": "npx",
      "args": [
        "-y",
        "@browsercatco/mcp-server"
      ],
      "env": {
        "BROWSERCAT_API_KEY": "your-api-key-here"
      }
    }
  }
}

Use BrowserCat MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once BrowserCat 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 BrowserCat 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 BrowserCat 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": {
    "browsercat": {
      "command": "npx",
      "args": [
        "-y",
        "@browsercatco/mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the BrowserCat 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 BrowserCat 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 BrowserCat to help me with this task?
BrowserCat
Sure. I read it.
Here is what I found using BrowserCat.

Frequently asked questions

What is the BrowserCat MCP server used for?

BrowserCat 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 BrowserCat MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use BrowserCat 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 BrowserCat 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 BrowserCat connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect BrowserCat MCP to TypingMind?

BrowserCat 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 BrowserCat MCP provide in TypingMind?

BrowserCat 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 BrowserCat MCP?

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

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