MCP Pentest
M

MCP Pentest

The MCP penetration testing framework is an intelligent automated security assessment tool that integrates multiple security tools to achieve reconnaissance, vulnerability scanning, and controllable exploitation. It supports AI - driven intelligent workflows and report generation.
2 points
4.4K

What is MCP Pentest?

MCP Pentest is an intelligent automated penetration testing server based on the Model Context Protocol. It can automatically execute all stages of security assessment, including information collection, vulnerability scanning, and controlled attack testing. This framework provides a comprehensive security risk assessment for security teams by integrating various security tools and an intelligent decision engine.

How to use MCP Pentest?

Using MCP Pentest is very simple. You only need to call the corresponding testing functions through the MCP client. The framework supports testing from basic information collection to complex vulnerability exploitation. Users can choose different testing intensities and scopes according to their needs. All operations are completed through standardized API interfaces, eliminating the need for manual configuration of complex toolchains.

Use Cases

MCP Pentest is suitable for various security testing scenarios, including regular security audits, security assessments before new system launches, red - team exercises, security research, and security education and training. It is particularly suitable for enterprise security teams and independent security researchers who need a fast and comprehensive security assessment.

Main Features

Intelligent Information Collection
Automatically perform port scanning, sub - domain enumeration, technology stack identification, and directory brute - force attacks to comprehensively collect information about the target system.
Automated Vulnerability Assessment
Integrate professional tools such as Nuclei, Nikto, and SQLMap to automatically detect security vulnerabilities in web applications, servers, and network services.
Controlled Attack Testing
Perform secure vulnerability exploitation tests within the authorized scope to verify the actual impact of vulnerabilities and provide evidence for remediation.
Intelligent Workflow Engine
An AI - based decision - making system automatically analyzes scan results and intelligently recommends the next testing strategy to optimize testing efficiency.
Comprehensive Report Generation
Automatically generate multi - format security assessment reports containing executive summaries, technical details, and remediation suggestions.
Technology - Aware Testing
Automatically identify the target technology stack and perform targeted security tests to improve the accuracy of vulnerability discovery.
Advantages
High degree of automation: Reduces manual operations and improves testing efficiency.
Integrates multiple tools: A one - stop security testing solution.
Intelligent decision - making: Automatically adjusts testing strategies based on scan results.
Easy to use: Simplifies operations through standardized API interfaces.
Comprehensive coverage: A complete testing process from information collection to vulnerability exploitation.
Professional reports: Automatically generates detailed security assessment reports.
Limitations
Requires professional tool support: Depends on external tools such as Nmap and Nuclei.
Learning curve: Requires basic knowledge of network security.
Possible false positives: Automated tools may produce false positives that require manual verification.
Resource consumption: Comprehensive scans may consume more system resources.
Legal restrictions: Must be used within the authorized scope.

How to Use

Environment Preparation
Ensure that the necessary security tools are installed in the system, including Nmap, Nuclei, Nikto, SQLMap, etc.
Installation and Configuration
Clone the project repository, install Node.js dependencies, build the project, and configure the MCP client.
Select Testing Mode
Choose the appropriate testing intensity and scope (passive/active/aggressive) according to testing requirements.
Execute Testing
Call the corresponding testing functions through the MCP client and monitor the testing progress and results.
Analyze Results
View the generated test reports and analyze the discovered security vulnerabilities and risk levels.

Usage Examples

Website Security Assessment
Conduct a comprehensive security assessment of public websites to identify web application vulnerabilities and configuration issues.
Internal Network Scanning
Perform a security scan of internal network assets to discover open ports, services, and potential risks.
Targeted Vulnerability Detection
Conduct specialized detection for specific technology stacks or known vulnerabilities.
Red - Team Exercise Support
Quickly collect target information and identify attack paths during red - team exercises.

Frequently Asked Questions

What authorization is required to use MCP Pentest?
Will the testing affect the target system?
How to reduce false positives?
Does it support custom test scripts?
What does the test report contain?
How to handle blocking issues during scanning?

Related Resources

Official Documentation
Complete installation guides, configuration instructions, and API reference documentation.
Tool Integration Guide
A detailed guide on how to integrate and use various security testing tools.
Best Practices
Best practices and compliance guidelines for penetration testing.
Community Forum
A community platform for user communication, problem discussion, and feature requests.
Security Tool Resources
A collection of GitHub resources for related security tools.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "pentest": {
      "command": "node",
      "args": ["path/to/mcp-pentest/dist/index.js"],
      "env": {}
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.6K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
9.4K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.3K
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
17.0K
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
46.5K
4.3 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
15.0K
4.5 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
25.0K
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
45.7K
4.5 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#
20.6K
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
15.1K
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
65.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase