Risky Business MCP
R

Risky Business MCP

An MCP server for network security vulnerability assessment, providing functions such as GitHub repository search, NIST NVD query, access to the CISA Known Vulnerabilities Catalog, and CVE research and analysis.
2 points
0

What is Risky Business AI MCP Server?

Risky Business is an AI assistant specifically designed for network security professionals, offering powerful vulnerability assessment capabilities through the Model Context Protocol (MCP). It can help you quickly search for vulnerability exploitation code on GitHub, query the NIST National Vulnerability Database, check the CISA Known Exploited Vulnerabilities Catalog, and analyze the content of code repositories, greatly simplifying the security research and emergency response processes.

How to use Risky Business?

You can access Risky Business through Claude Desktop or a compatible AI client. After installation and configuration, you can use natural language to query vulnerability information, search for PoC code, generate security reports, etc. The system supports Chinese and English interactions, eliminating the need to memorize complex commands.

Use Cases

Suitable for vulnerability assessment by security teams, vulnerability exploitation research in red team exercises, threat intelligence collection during blue team emergency response, security code review by developers, and academic research by security researchers.

Main Features

GitHub Repository Search
Use the GitHub API to search for repositories containing specific vulnerability exploitation code or security research, supporting sorting by stars, branches, update time, and other methods.
NIST Vulnerability Database Query
Access the National Vulnerability Database of the National Institute of Standards and Technology (NIST) to obtain detailed CVE information, CVSS scores, severity levels, and lists of affected products.
CISA Known Exploited Vulnerabilities Search
Query the Known Exploited Vulnerabilities Catalog of the Cybersecurity and Infrastructure Security Agency (CISA) to understand which vulnerabilities are being exploited in actual attacks.
Code Repository Analysis
Conduct in - depth analysis of the file structure and content of GitHub repositories to help identify potential vulnerability exploitation code and security research materials.
Automated Report Generation
Automatically generate complete security reports containing vulnerability details, impact assessments, and repair suggestions, supporting voice briefings and instant message push.
Advantages
One - stop vulnerability assessment: Integrate multiple authoritative data sources, eliminating the need to switch between different platforms.
Intelligent search strategy: Built - in professional CVE search strategies to improve the efficiency of finding relevant code.
Real - time threat intelligence: Direct access to real - time threat databases such as CISA KEV.
User - friendly interface: Interact through natural language, reducing the technical threshold.
Automated workflow: Fully automated from vulnerability discovery to report generation.
Limitations
Dependence on API availability: Functions are limited by third - party APIs such as GitHub and NIST.
Rate limits: Free APIs have call frequency limits. You need to configure keys to increase the quota.
Content accuracy: Depends on the accuracy and timeliness of external data sources.
Technical complexity: Requires a certain technical background to fully utilize the functions.

How to Use

Environment Preparation
Ensure that Python 3.8+ and necessary dependency packages are installed. It is recommended to use the uv package management tool.
API Key Configuration
Obtain and configure a GitHub Personal Access Token and a NIST API key for a better user experience.
Start the Server
Run the MCP server and configure it in Claude Desktop or other compatible clients.
Start Using
Query vulnerability information or perform security analysis tasks through natural language in the AI client.

Usage Examples

Emergency Vulnerability Response
When a new high - risk vulnerability is discovered, quickly assess the company's affected situation and find available vulnerability exploitation code.
Red Team Exercise Preparation
Before a red team exercise, study known vulnerabilities and exploitation methods of specific products or services.
Threat Intelligence Collection
Collect vulnerability information used by specific threat organizations or attack campaigns.

Frequently Asked Questions

Do I need a paid API key?
Which AI clients are supported?
How is data processing and privacy ensured?
Is it supported in an enterprise intranet environment?
What should I do if I encounter API limits?

Related Resources

Apply for a GitHub Personal Access Token
Apply for a GitHub API access token to increase the rate limit.
Apply for a NIST API Key
Apply for an API key for the NIST National Vulnerability Database.
Model Context Protocol Specification
Official documentation and specification of the MCP protocol.
CISA Known Exploited Vulnerabilities Catalog
CISA's official Known Exploited Vulnerabilities Database.
Project Code Repository
Source code and latest version of the Risky Business MCP server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "risky-business": {
      "command": "/absolute/path/to/risky-business-mcp/venv/bin/python",
      "args": [
        "/absolute/path/to/risky-business-mcp/main.py"
      ],
      "env": {
        "GITHUB_TOKEN": "your_github_token_here",
        "NIST_API_KEY": "your_nist_api_key_here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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