Kernel MCP Server

Kernel MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with secure access to Kernel platform tools and browser automation capabilities.

🌐 Use instantly at https://mcp.onkernel.com/mcp — no installation required!

What is this?

The Kernel MCP Server bridges AI assistants (like Claude, Cursor, or other MCP-compatible tools) with the Kernel platform, enabling them to:

• 🚀 Deploy and manage Kernel apps in the cloud
• 🌐 Launch and control headless Chromium sessions for web automation
• 📊 Monitor deployments and track invocations
• 🔍 Search Kernel documentation and inject context
• 💻 Execute arbitrary Playwright code against live browsers
• 🎥 Automatically record video replays of browser automation

Open-source & fully-managed — the complete codebase is available here, and we run the production instance so you don't need to deploy anything.

The server uses OAuth 2.0 authentication via Clerk to ensure secure access to your Kernel resources.

For a deeper dive into why and how we built this server, see our blog post: Introducing Kernel MCP Server.

Setup Instructions

General (Transports)

• Streamable HTTP (recommended): https://mcp.onkernel.com/mcp
• stdio via mcp-remote (for clients without remote MCP support): npx -y mcp-remote https://mcp.onkernel.com/mcp

Use the streamable HTTP endpoint where supported for increased reliability. If your client does not support remote MCP, use mcp-remote over stdio.

Kernel's server is a centrally hosted, authenticated remote MCP using OAuth 2.1 with dynamic client registration.

Quick Setup with Kernel CLI

The fastest way to configure the MCP server is using the Kernel CLI:

# Install the CLI
brew install onkernel/tap/kernel
# or: npm install -g @onkernel/cli

# Install MCP for your tool
kernel mcp install --target <target>

Supported Targets

The CLI automatically locates your tool's config file and adds the Kernel MCP server configuration.

Connect in your client

Claude

Our remote MCP server is not compatible with the method Free users of Claude use to add MCP servers.

Pro, Max, Team & Enterprise (Claude.ai and Claude Desktop)

1. Go to Settings → Connectors → Add custom connector.
2. Enter: Integration name: Kernel, Integration URL: https://mcp.onkernel.com/mcp, then click Add.
3. In Settings → Connectors, click Connect next to Kernel to launch OAuth and approve.
4. In chat, click Search and tools and enable the Kernel tools if needed.

On Claude for Work (Team/Enterprise), only Primary Owners or Owners can enable custom connectors for the org. After it's configured, each user still needs to go to Settings → Connectors and click Connect to authorize it for their account.

Claude Code CLI

claude mcp add --transport http kernel https://mcp.onkernel.com/mcp
# Then in the REPL run once to authenticate:
/mcp

Cursor

Automatic setup

Manual setup

1. Press ⌘/Ctrl Shift J.
2. Go to MCP & Integrations → New MCP server.
3. Add this configuration:

{
  "mcpServers": {
    "kernel": {
      "url": "https://mcp.onkernel.com/mcp"
    }
  }
}

1. Save. The server will appear in Tools.

OpenCode

Add the following to your ~/.config/opencode/opencode.jsonc:

{
  "mcp": {
    "kernel": {
      "type": "remote",
      "url": "https://mcp.onkernel.com/mcp",
    },
  },
}

Then authenticate using the OpenCode CLI:

# Authenticate with Kernel
opencode mcp auth kernel

# If you need to re-authenticate, first logout then auth again
opencode mcp logout kernel
opencode mcp auth kernel

Goose

Click here to install Kernel on Goose in one click.

Goose Desktop

1. Click Extensions in the sidebar of the Goose Desktop.
2. Click Add custom extension.
3. On the Add custom extension modal, enter:
   • Extension Name: Kernel
   • Type: STDIO
   • Description: Access Kernel's cloud-based browsers via MCP
   • Command: npx -y mcp-remote https://mcp.onkernel.com/mcp
   • Timeout: 300
4. Click Save Changes button.

Goose CLI

1. Run the following command:

   goose configure
   

2. Select Add Extension from the menu.
3. Choose Command-line Extension.
4. Follow the prompts:
   • Extension name: Kernel
   • Command: npx -y mcp-remote https://mcp.onkernel.com/mcp
   • Timeout: 300
   • Description: Access Kernel's cloud-based browsers via MCP

Visual Studio Code

{
  "mcpServers": {
    "kernel": {
      "url": "https://mcp.onkernel.com/mcp",
      "type": "http"
    }
  }
}

1. Press ⌘/Ctrl P → search MCP: Add Server.
2. Select HTTP (HTTP or Server-Sent Events).
3. Enter: https://mcp.onkernel.com/mcp
4. Name the server Kernel → Enter.

Windsurf

1. Press ⌘/Ctrl , to open settings.
2. Navigate Cascade → MCP servers → View raw config.
3. Paste:

{
  "mcpServers": {
    "kernel": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.onkernel.com/mcp"]
    }
  }
}

1. On Manage MCPs, click Refresh to load Kernel MCP.

Zed

1. Press ⌘/Ctrl , to open settings.
2. Paste:

{
  "context_servers": {
    "kernel": {
      "source": "custom",
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.onkernel.com/mcp"]
    }
  }
}

Smithery

You can connect directly to https://mcp.onkernel.com/mcp, or use Smithery as a proxy using its provided URL.

• Use Smithery URL in any MCP client:

  1. Open Smithery: Kernel.
  2. Copy the URL from "Get connection URL".
  3. Paste it into your MCP client's "Add server" flow.

• Use Kernel in Smithery's Playground MCP client:

  1. Open Smithery Playground.
  2. Click "Add servers", search for "Kernel", and add it.
  3. Sign in and authorize Kernel when prompted.

Others

Many other MCP-capable tools accept:

• Command: npx
• Arguments: -y mcp-remote https://mcp.onkernel.com/mcp

{
  "kernel": {
    "command": "npx",
    "args": ["-y", "mcp-remote", "https://mcp.onkernel.com/mcp"]
  }
}

Configure these values wherever the tool expects MCP server settings.

Tools (10 total)

Each Kernel feature has a single manage_* tool with an action parameter, keeping the tool set small and consistent. Four standalone tools handle high-frequency workflows.

manage_* tools

• manage_browsers - Create, list, get, and delete browser sessions. Supports headless/stealth modes, profiles, proxies, viewports, extensions, and SSH tunneling.
• manage_profiles - Setup (with guided live browser session), list, and delete browser profiles for persisting cookies and logins.
• manage_browser_pools - Create, list, get, delete, and flush pools of pre-warmed browsers. Acquire and release browsers from pools.
• manage_proxies - Create, list, and delete proxy configurations (datacenter, ISP, residential, mobile, custom).
• manage_extensions - List and delete uploaded browser extensions.
• manage_apps - List apps, invoke actions, get/list deployments, and get invocation results.

Standalone tools

• computer_action - Mouse, keyboard, and screenshot controls for browser sessions (click, type, press_key, scroll, move, get_position, screenshot).
• execute_playwright_code - Execute Playwright/TypeScript code against a browser with automatic video replay and cleanup.
• exec_command - Run shell commands inside a browser VM. Returns decoded stdout/stderr.
• search_docs - Search Kernel platform documentation and guides.

Resources

• browsers:// - Access browser sessions (list all or get specific session)
• browser_pools:// - Access browser pools (list all or get specific pool)
• profiles:// - Access browser profiles (list all or get specific profile)
• apps:// - Access deployed apps (list all or get specific app)

Prompts

• kernel-concepts - Get explanations of Kernel's core concepts (browsers, apps, overview)
• debug-browser-session - Get a comprehensive debugging guide for troubleshooting browser sessions (VM issues, network problems, Chrome errors)

Troubleshooting

• Cursor clean reset: ⌘/Ctrl Shift P → run Cursor: Clear All MCP Tokens (resets all MCP servers and auth; re-enable Kernel and re-authenticate).
• Clear saved auth and retry: rm -rf ~/.mcp-auth
• Ensure a recent Node.js version when using npx mcp-remote
• If behind strict networks, try stdio via mcp-remote, or explicitly set the transport your client supports

Examples

Invoke apps from anywhere

Human: Run my web-scraper app to get data from reddit.com
Assistant: I'll execute your web-scraper action with reddit.com as the target.
[Uses invoke_action tool to run your deployed app in the cloud]

Execute Playwright code dynamically

Human: Go to example.com and get me the page title
Assistant: I'll execute Playwright code to navigate to the site and retrieve the title.
[Uses execute_playwright_code tool with code: "await page.goto('https://example.com'); return await page.title();"]
Returns: { success: true, result: "Example Domain", replay_url: "https://..." }

Set up browser profiles for authentication

Human: Set up a profile for my work accounts
Assistant: I'll create a profile and guide you through the setup process.
[Uses setup_profile tool]

Human: I'm done setting up my accounts
Assistant: Perfect! I'll close the browser session and save your profile.
[Uses delete_browser tool to save profile]

Debug a browser session

Note: Attach the debug-browser-session prompt to your conversation first, then ask for help debugging.

Human: [Attaches debug-browser-session prompt with session_id and issue_description]
       Help me debug this browser session.
Assistant: [Follows the debugging guide from the prompt: uses Kernel CLI to check session status,
            read VM logs, test network connectivity, and diagnose issues]

Connect local dev server to cloud browser

This is perfect for AI coding workflows where you need to preview local changes in a real browser:

Human: I'm working on a React app running on localhost:3000. I want to test it in a cloud browser.
Assistant: I'll create a browser tunnel session for you.
[Uses create_browser_tunnel tool with local_port: 3000]
Returns: Session ID, live view URL, and tunnel connection command.

🤝 Contributing

We welcome contributions! Please see our contributing guidelines:

1. Fork the repository and create your feature branch
2. Make your changes and add tests if applicable
3. Run the linter and formatter:

   bun run lint
   bun run format
   

4. Test your changes thoroughly
5. Submit a pull request with a clear description

Development Guidelines

• Follow the existing code style and formatting
• Add TypeScript types for new functions and components
• Update documentation for any API changes
• Ensure all tests pass before submitting

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Related Projects

• Model Context Protocol - The protocol specification
• Kernel Platform - The platform this server integrates with
• Clerk - Authentication provider
• @onkernel/sdk - Kernel JavaScript SDK

💬 Support

• Issues & Bugs: GitHub Issues
• MCP Feedback: github.com/kernelxyz/mcp-feedback
• Documentation: Kernel Docs • MCP Setup Guide
• Community: Kernel Discord

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Built with ❤️ by the Kernel Team

Running this server locally

cp .env .env.local # Values for the .env.local file are in 1Password > DevEnvVars > MCP section
bun install
bun run dev

This will start the server on port 3002.