About Claude Chrome MCP
Claude Chrome MCP lets MCP clients interact with claude.ai in Chrome through a Chrome extension, MCP server, and CLI. It supports tab and conversation management, message sending, and network debugging.
Key features
- 01Interact with claude.ai tabs
- 02Send messages asynchronously and detect completion
- 03Forward responses between Claude instances
- 04Manage conversations and search chats
- 05Inspect and debug network activity
Use cases
- 01Check Chrome status and open tabs
- 02Send a message to a new Claude tab
- 03Find conversations containing a term
- 04Troubleshoot browser network interactions
MCP support
The MCP server connects MCP clients to claude.ai through a Chrome extension and WebSocket relay.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEClaude Chrome MCP
Browser automation tool enabling MCP clients (Claude Desktop, Claude Code, Cursor) to interact with claude.ai through Chrome extension and MCP server.
Components
- MCP Server
- Chrome Extension (enabled only for claude.ai)
- CLI Tool
Quick Start
Prerequisites
- Google Chrome browser
- Node.js v16 or higher
- npm installed
Step 1: Install Chrome Extension
- Open Chrome and navigate to chrome://extensions/
- Enable "Developer mode" (toggle in top right)
- Click "Load unpacked" and select the
extension/directory from this project - The extension icon should appear in your toolbar
Step 2: Install Dependencies
# From the project root directory
cd mcp-server
npm install
Step 3: Configure Claude Desktop
- Open Claude Desktop settings
- Navigate to Developer > Edit Config
- Add this configuration:
{
"mcpServers": {
"claude-chrome-mcp": {
"command": "node",
"args": ["<absolute-path-to-project>/mcp-server/src/server.js"]
}
}
}
Replace <absolute-path-to-project> with the full path to this project (e.g., /Users/yourname/claude-chrome-mcp)
Step 4: Restart Claude Desktop
After adding the configuration, restart Claude Desktop to load the MCP server. The server will automatically start its embedded WebSocket relay on port 54321.
Step 5: Test the Connection
In Claude Desktop, you can now use natural language commands like:
- "Check Chrome status"
- "Open a new tab"
- "Send 'Hello, World!' to the new Claude tab"
- "List all open Claude tabs"
- "Search for Claude chats with 'math'"
Key Features
- Async message sending with completion detection
- Claude-to-Claude response forwarding
- Conversation management via Claude.ai API
- Network inspection and debugging tools
- WebSocket-only architecture with persistent connections
- Health monitoring endpoint for relay status
Documentation
| Guide | Description |
|---|---|
| Architecture Analysis | Critical issues and improvement roadmap |
| Architecture | System design and components |
| Troubleshooting | Complete troubleshooting and timeout resolution |
| Development Workflows | Code changes, testing, and development procedures |
| TypeScript | Type definitions and development |
| CLI Tools | Command-line interface and setup |
| Event Architecture | Visual system diagrams |
Project Resources
- MCP Configuration - Quick commands and setup
- GitHub Releases - Release history
- GitHub Issue Script - Claude Code integration utilities
CLI Tool (Optional)
npm install && npm run build && npm link
Architecture
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Claude.ai │ │ Chrome Extension │ │ WebSocket Relay │
│ (Browser) │◄──►┤ (Offscreen Doc) │◄──►│ Port 54321 │
└─────────────────┘ └──────────────────┘ └─────────────────┘
▲
│
┌────────┴────────┐
│ │
┌───────▼──────┐ ┌───────▼──────┐
│ MCP Server │ │ Claude Code │
│ (Relay Mode) │ │ MCP Client │
└──────────────┘ └──────────────┘
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.