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Kernel

v1.0.0•Cloud Services•stable

Open-source MCP server for secure, low-latency cloud-browser automation on Kernel.

ai-agentsbrowser-automationcloud-browserdevtoolheadless-chromium
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What is Kernel?

Kernel is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to open-source mcp server for secure, low-latency cloud-browser automation on kernel.

Open-source MCP server for secure, low-latency cloud-browser automation on Kernel.

This server falls under the Cloud Services and Browser Automation categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Open-source MCP server for secure, low-latency cloud-browser

Use Cases

Run secure cloud-based browser automation with low latency.
Deploy and scale headless chromium workloads for AI agents.
kernel

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMay 15, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx kernel

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Kernel

The Kernel MCP server gives AI assistants access to secure, low-latency cloud-hosted browser automation powered by Kernel's infrastructure. It exposes 15 tools for managing cloud browsers, browser pools, profiles, proxies, extensions, and running Playwright code or computer-action commands — all without requiring a local browser installation. Teams use it to delegate web scraping, UI testing, and authenticated browsing tasks to AI agents at scale.

Prerequisites

  • A Kernel account at onkernel.com with an active API key
  • Node.js 18+ installed (for npx / mcp-remote transport)
  • An MCP-compatible client such as Claude Desktop, Cursor, or VS Code with MCP support
  • The Kernel CLI (npm install -g @onkernel/cli) if using the guided install path
1

Install the Kernel CLI

Install the official Kernel CLI globally via npm, or use Homebrew on macOS. The CLI automates MCP client configuration.

npm install -g @onkernel/cli
# or on macOS:
brew install onkernel/tap/kernel
2

Authenticate with Kernel

Log in to your Kernel account through the CLI. This stores your credentials locally so the MCP server can authenticate API calls.

kernel login
3

Install the MCP server for your client

Run the guided install command with --target set to your MCP client. Supported targets: claude, cursor, vscode, windsurf, zed, goose.

kernel mcp install --target claude
4

Or configure manually with mcp-remote

If you prefer a manual setup, add the Kernel MCP server to your client config using mcp-remote to connect to the hosted HTTP endpoint.

{
  "mcpServers": {
    "kernel": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.onkernel.com/mcp"]
    }
  }
}
5

Verify connection and explore tools

Restart your MCP client. Ask Claude to list available Kernel tools or run a simple browser action to confirm the connection is working.

Kernel Examples

Client configuration

Claude Desktop config connecting to Kernel's hosted MCP endpoint via mcp-remote (no local installation required).

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

Prompts to try

Example tasks you can delegate to Claude using the Kernel browser automation tools.

- "Go to example.com and get me the page title"
- "Run my web-scraper app to collect the top posts from reddit.com/r/technology"
- "Set up a browser profile for my work accounts with saved credentials"
- "Take a screenshot of the current state of app.example.com after logging in"
- "Execute this Playwright script to fill out and submit the form at staging.myapp.com"

Troubleshooting Kernel

Authentication fails or 401 errors when calling Kernel tools

Run 'kernel login' to refresh your credentials. If you configured manually via mcp-remote, ensure you have a valid Kernel API key and that the mcp-remote package can reach https://mcp.onkernel.com/mcp from your network.

mcp-remote not found or npx fails to download it

Ensure Node.js 18+ is installed and npx is available. Try running 'npx -y mcp-remote --version' separately to verify mcp-remote can be fetched. If behind a corporate proxy, set HTTP_PROXY and HTTPS_PROXY environment variables.

Playwright execution errors in the cloud browser

Kernel runs headless Chromium in the cloud; some sites block headless browsers via fingerprinting. Use the manage_proxies tool to route through residential IPs, or configure a browser profile with saved cookies to appear as a returning user.

Frequently Asked Questions about Kernel

What is Kernel?

Kernel is a Model Context Protocol (MCP) server that open-source mcp server for secure, low-latency cloud-browser automation on kernel. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Kernel?

Follow the installation instructions on the Kernel GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Kernel?

Kernel works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Kernel free to use?

Yes, Kernel is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "kernel": { "command": "npx", "args": ["-y", "kernel"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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