Camofox MCP
CamoFox MCP is an AI-driven anti-detection browser automation tool that provides browser control functions for AI agents through the MCP protocol, supporting navigation, interaction, data extraction, and multi-tab workflows, and built-in anti-detection mechanisms.
rating : 2.5 points
downloads : 6.5K
What is CamoFox MCP?
CamoFox MCP is a bridge tool that connects AI assistants (such as Claude Desktop, VS Code, Cursor, etc.) with the browser. It enables AI assistants to browse web pages, click buttons, fill out forms, and download files like real humans, while using advanced anti-detection technology to avoid being identified as a robot by websites.How to use CamoFox MCP?
Using CamoFox MCP requires two components: the browser server and the MCP server. First, start the browser server, and then configure your AI assistant to connect to CamoFox MCP. Two methods are supported: direct command-line operation or using Docker containers.Applicable scenarios
Suitable for scenarios where AI assistants are required to perform web automation operations, such as data collection, automated testing, web content analysis, batch operations, form filling, file downloading, etc. It is particularly suitable for websites that require bypassing anti-robot detection.Main features
Anti-detection browser automation
Based on Camoufox technology, it simulates real user behavior and effectively prevents websites from identifying it as a robot or an automation script.
Multi-tab workflow
Supports managing multiple browser tabs simultaneously, with each tab having independent state tracking, history, and cleaning functions.
Session persistence
Supports saving and restoring browser sessions, including cookie import, profile saving, and auto-save options.
Efficient content extraction
Provides optimized web content snapshots, reducing token consumption during AI processing and supporting CSS selector fallback for handling complex web pages.
Multi-client support
Compatible with multiple MCP clients such as Claude Desktop, VS Code, Cursor, and OpenClaw, supporting both HTTP and standard input/output communication methods.
Rich toolset
Provides 46 browser automation tools covering multiple aspects such as navigation, interaction, observation, search, download, session management, and batch workflows.
Advantages
Powerful anti-detection ability: Effectively prevents mainstream websites from identifying it as an automation tool
Complete browser functions: Supports complete operations such as clicking, scrolling, form filling, and file downloading
Session management: Can save and restore login status, avoiding repeated logins
Multi-client compatibility: Supports multiple AI assistants and development tools
Flexible deployment methods: Supports local operation and Docker containerized deployment
Limitations
Requires two components: Both the browser server and the MCP server must be running simultaneously
Support for complex web pages: For websites using SPA (Single Page Application) or custom components, CSS selectors may need to be used
Configuration requirements: Requires correct configuration of environment variables and connection parameters
Resource consumption: Running browser instances will consume a certain amount of system resources
How to use
Install the browser server
First, you need to install and start the Camofox browser server, which is the core component for actually performing browser operations.
Configure the MCP client
Add the Camofox MCP server configuration to the configuration file of your AI assistant (such as Claude Desktop).
Verify the connection
Check if the browser server is running normally and ensure that the MCP client can connect successfully.
Start using
Use browser-related commands in the AI assistant, such as opening web pages, clicking elements, and extracting content.
Usage examples
Automated data collection
Let the AI assistant automatically access multiple web pages, extract structured data, and save it locally.
Automated form filling
Fill out and submit online forms in batches, suitable for scenarios such as registration and surveys.
Web content monitoring
Regularly check for changes in web content and notify the user when an update is detected.
Frequently Asked Questions
What is the difference between Camofox MCP and ordinary browser automation?
Do I need programming knowledge to use it?
What browser operations are supported?
How to ensure the security of use?
What should I do if I encounter a website that cannot be operated normally?
Related resources
Complete documentation
Complete documentation including detailed installation guides, tool references, and usage examples
Tool reference manual
Detailed usage instructions and parameter descriptions for 46 browser tools
Quick start guide
Detailed steps for configuring and using CamoFox MCP from scratch
GitHub repository
Source code, issue feedback, and contribution guidelines

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