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Manage your GoLogin browser profiles and automation directly through AI conversations. This MCP server connects to the GoLogin API, letting you create, configure, and control browser profiles using natural language.

Publishergologinapp
Repositorygologin-mcp
LanguageJavaScript
Forks
8
Stars
15
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    GoLogin 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

    15 stars and 8 forks from the linked repository.

GoLogin MCP Server

Manage your GoLogin browser profiles and automation directly through AI conversations. This MCP server connects to the GoLogin API, letting you create, configure, and control browser profiles using natural language.

What You Can Do

With GoLogin MCP Server, you can:

  • Manage browser profiles - Create, update, delete, and list your browser profiles
  • Configure proxies - Set up and modify proxy settings for your profiles
  • Handle fingerprints - Customize browser fingerprints and user agents
  • Manage folders - Organize your profiles into folders
  • Account information - Check your subscription status and usage

Example Use Cases

  • "Create a new browser profile with a US proxy"
  • "Show me all my browser profiles"
  • "Update the proxy settings for my profile"
  • "Delete old profiles I no longer need"
  • "Check my GoLogin account status"
  • "Create a folder to organize my profiles"

Setup for MCP Clients

Claude Desktop

How to connect Gologin MCP with Claude Desktop:

Step 1: Access Claude Desktop settings

Open your Claude Desktop application. In the top menu bar, click on 'Claude' and then select 'Settings...'.

Step 2: Navigate to developer settings

In the Settings window, on the left sidebar, click on 'Developer'. This section manages connections via the Model Context Protocol. Click the 'Edit Config' button to open the configuration file.

Step 3: Locate claude_desktop_config.json

This action will open the claude_desktop_config.json file in your default text editor. This file is where you configure your MCP servers.

Step 4: Add Gologin MCP configuration

You need to add the GoLogin MCP server configuration details within the mcpservers object. Carefully paste the following JSON snippet into your claude_desktop_config.json file. Important: Replace 'your-gologin-api-token-here' with your actual GoLogin API token. Ensure the JSON structure remains correct after pasting.

json
{
  "mcpServers": {
    "gologin-mcp": {
      "command": "npx",
      "args": ["gologin-mcp"],
      "env": {
        "API_TOKEN": "your-gologin-api-token-here"
      }
    }
  }
}

Step 5: Verify connection in connectors

After saving the claude_desktop_config.json file, it is recommended to restart Claude Desktop to ensure the new configuration is loaded. Once Claude restarts, navigate back to its 'Settings'. Under the 'Connectors' section (which might be under 'General' or 'Extensions' depending on your Claude version), you should now see 'gologin-mcp LOCAL' listed as a connected service. This indicates a successful integration.

Congratulations! You have successfully connected GoLogin MCP with Claude Desktop. Your AI assistant can now leverage Gologin profiles for various tasks.

Cursor

  1. Configure in Cursor:

    Add to your Cursor MCP configuration:

    json
    {
      "mcpServers": {
        "gologin-mcp": {
          "command": "npx",
          "args": ["gologin-mcp"],
          "env": {
            "API_TOKEN": "your-gologin-api-token-here"
          }
        }
      }
    }

Other MCP Clients

For other MCP-compatible clients, use the same configuration pattern with the appropriate config file location for your client.

Getting Your API Token

  1. Log in to your GoLogin account
  2. Go to API settings
  3. Generate or copy your API token
  4. Use this token in the configuration above

Example Workflow

  1. Check your account: "What's my GoLogin account status?"

  2. Create a profile: "Create a new browser profile with Chrome browser and a US proxy"

  3. Manage profiles: "Show me all my profiles" "Update the proxy for profile ID 123 to use a UK proxy" "Delete the profile named 'test-profile'"

  4. Organize profiles: "Create a folder called 'Social Media Accounts'" "Move profile XYZ to the Social Media Accounts folder"

  5. Control browsers: "Start a browser session for my profile" "Stop all running browser sessions"

Requirements

  • Node.js 18 or higher
  • Valid GoLogin API token
  • Active GoLogin account

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "gologin-mcp": {
      "command": "npx",
      "args": [
        "gologin-mcp"
      ],
      "env": {
        "API_TOKEN": "your-gologin-api-token-here"
      }
    }
  }
}

Use GoLogin MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once GoLogin 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 GoLogin 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 GoLogin 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": {
    "gologin": {
      "command": "npx",
      "args": [
        "-y",
        "gologin-mcp"
      ]
    }
  }
}
4

Use it across models

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

Frequently asked questions

What is the GoLogin MCP server used for?

GoLogin 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 GoLogin MCP with multiple AI models in TypingMind?

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

How do I connect GoLogin MCP to TypingMind?

GoLogin 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 GoLogin MCP provide in TypingMind?

GoLogin 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 GoLogin MCP?

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

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