Chrome Debug MCP
C

Chrome Debug MCP

An MCP server based on the Chrome debugging protocol for browser automation operations, supporting persistent login sessions and enabling enterprise-level deployment without installing extensions.
2.5 points
9.5K

What is Chrome Debug MCP Server?

This is an MCP server that implements browser automation through the Chrome debugging protocol. It can connect to a logged-in Chrome instance to achieve automated operations without repeated logins. It is particularly suitable for scenarios that require maintaining user sessions, such as social media management and e-commerce operations.

How to use Chrome Debug MCP Server?

Just two steps: 1) Start Chrome browser in debug mode. 2) Run the MCP server. Then you can control the browser through the standard MCP protocol, and all operations will retain the original login state.

Applicable Scenarios

Automated social media posting, product management on e-commerce platforms, web data collection that requires login, automated testing of enterprise intranet applications, and other browser automation scenarios that require a persistent login state.

Main Features

Chrome Debug Port Connection
Connect via the standard Chrome DevTools protocol without installing any extensions.
Session Persistence
Reuse the logged-in browser session to avoid repeated login operations.
Intelligent Tab Management
Automatically reuse tabs for websites with the same domain name and create new tabs for different domains.
Visual Operation Feedback
Automatically take screenshots after each operation to provide intuitive verification of the execution results.
Containerization Support
Perfectly supports deployment in Docker/Kubernetes environments without extension installation restrictions.
Advantages
Zero-dependency deployment: No need for Chrome extensions or app store reviews.
Enterprise-level security: Based on the standard debugging protocol, no third-party extension permissions are required.
Session retention: Reuse logged-in browser instances to avoid repeated authentication.
Container-friendly: Perfectly supports Docker/Kubernetes cloud-native deployment.
Two-step startup: Just start Chrome in debug mode and run MCP, two simple steps.
Limitations
Need to manually log in to the target website in advance (for the first use).
Depends on the Chrome debug port, which may conflict with enterprise security policies.
Cannot completely hide automation traces (e.g., the browser window will be displayed).

How to Use

Start Chrome in Debug Mode
Start Chrome with specific command-line parameters to enable the remote debugging port.
Log in to the Target Website
Manually log in to the website that needs automation (such as Twitter, e-commerce platforms, etc.) in the just-started Chrome window.
Run the MCP Server
Run the MCP server directly via npx or after global installation.
Configure the MCP Client
Add the server configuration to your MCP client configuration file.

Usage Examples

Automated Social Media Posting
Maintain the login state of Twitter/Weibo and automatically post content.
E-commerce Price Monitoring
Regularly scrape the product prices of the logged-in e-commerce platform.
Enterprise Intranet Application Testing
Automatically test the internal management system that requires SSO authentication.

Frequently Asked Questions

Why do I need to manually log in to the website first?
How to confirm that the Chrome debug port has been correctly opened?
How to use it in a Docker environment?
What should I do if the operation has no response?

Related Resources

Chrome DevTools Protocol Documentation
Official technical documentation for the Chrome debugging protocol.
GitHub Repository
Project source code and the latest version.
Docker Chrome Image
Recommended Chrome image for containerized deployment.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "browser-automation": {
      "command": "npx",
      "args": ["chrome-debug-mcp"]
    }
  }
}

> {
>   "mcpServers": {
>     "browser-automation": {
>       "command": "chrome-debug-mcp"
>     }
>   }
> }
>

> {
>   "mcpServers": {
>     "browser-automation": {
>       "command": "npx",
>       "args": ["chrome-debug-mcp"]
>     }
>   }
> }
>
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.3K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.9K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.0K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
22.3K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
74.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.5K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
66.3K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
99.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase