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Bugbounty MCP Server
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Bugbounty MCP Server

BugBounty MCP Server is a comprehensive security testing tool that interacts with LLM through natural language, providing over 92 penetration testing tools, covering functions such as reconnaissance, scanning, vulnerability assessment, web applications, network security, OSINT, vulnerability exploitation, and report generation.
SecurityDeveloper tools#Security testing#Penetration tools#MCP protocol#Vulnerability scanning.Python
2.5 points
4.4K
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Overview

Installation

Content Details

Alternatives

What is BugBounty MCP Server?

BugBounty MCP Server is an intelligent security testing platform that allows you to perform complex security testing tasks through simple natural language conversations. You only need to tell the AI assistant the target and type you want to test, and the server will automatically call the corresponding security tools to complete scanning, vulnerability detection, and report generation.

How to use BugBounty MCP Server?

It's very simple to use: 1) Install Docker or the local environment. 2) Configure the API key (optional). 3) Connect to a supported AI assistant (such as Claude, GitHub Copilot). 4) Conduct security testing through natural language conversations. You don't need to memorize complex command-line parameters, and the AI will handle all the technical details for you.

Applicable scenarios

Suitable for security researchers, developers, and enterprise security teams to conduct: web application security testing, vulnerability mining, penetration testing, security assessment, compliance checking, security monitoring, and emergency response.

Main features

Intelligent reconnaissance
13 reconnaissance tools such as automated subdomain discovery, DNS enumeration, WHOIS query, and certificate transparency log analysis.
Comprehensive scanning
15 scanning tools such as port scanning, service identification, directory brute-forcing, web crawling, and parameter discovery.
Vulnerability assessment
15 vulnerability detection capabilities such as SQL injection, XSS, command injection, file inclusion, and SSRF.
Web application security
10 web application testing tools such as access control, security configuration, sensitive data leakage, and API security.
Natural language interaction
Perform complex security tests through a conversational interface without memorizing command-line parameters.
Docker containerization
One-click Docker deployment, including all dependent tools and security environments.
Advantages
๐Ÿš€ Ready to use: Docker deployment without complex environment configuration.
๐Ÿค– Intelligent interaction: Controlled by natural language, reducing the usage threshold.
๐Ÿ”ง Rich tools: Integrating over 90 professional security tools.
๐Ÿ“Š Automatic reporting: Generate detailed security assessment reports.
โšก Efficient parallelism: Support concurrent scanning to improve testing efficiency.
๐Ÿ”’ Secure and controllable: Built-in security checks and permission controls.
Limitations
Requires basic knowledge of Docker usage.
Some advanced features require an API key.
Network scanning may be blocked by the target system's protection devices.
Sufficient memory resources are required when processing large amounts of data.

How to use

Environment preparation
Ensure that Docker and Docker Compose are installed on the system.
Download the project
Clone the GitHub repository to the local machine.
Configure the environment
Copy and edit the environment configuration file, and add your API key.
Start the service
Start the MCP server using Docker Compose.
Verify the installation
Check if the service is running normally.
Connect to the AI assistant
Configure Claude Desktop or other supported clients.

Usage examples

Basic security scanning
Conduct a basic security assessment of the target website, including subdomain discovery, port scanning, and common vulnerability detection.
Specific vulnerability detection
Conduct in-depth detection for specific types of vulnerabilities, such as SQL injection or XSS vulnerabilities.
External reconnaissance
Collect external information about the target, including the technology stack, subdomains, historical records, etc.

Frequently Asked Questions

Do I need programming knowledge to use it?
Which AI assistants are supported?
Is a paid API key required?
Will the target detect the scanning?
Does it support the Windows system?

Related resources

GitHub repository
Project source code and the latest version
MCP protocol documentation
Official documentation of the Model Context Protocol
Docker installation guide
Docker installation tutorials for various platforms
Best practices for security testing
OWASP Web security testing guide

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "bugbounty-mcp": {
      "command": "docker",
      "args": ["exec", "-i", "bugbounty-mcp-server", "bugbounty-mcp", "serve"],
      "env": {
        "DOCKER_HOST": "unix:///var/run/docker.sock"
      }
    }
  }
}

{
  "mcpServers": {
    "bugbounty-mcp": {
      "command": "/Users/your-username/Documents/bugbounty-mcp-server/run.sh",
      "args": ["serve"],
      "env": {
        "PATH": "/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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