Nessus MCP Server: Bridging Vulnerability Scanning and AI with UBOS

In today’s rapidly evolving cybersecurity landscape, integrating vulnerability scanning with artificial intelligence (AI) has become crucial. The Nessus MCP (Model Context Protocol) Server, available on the UBOS Asset Marketplace, provides a robust solution for connecting the powerful Tenable Nessus vulnerability scanner with AI agents. This integration enables automated vulnerability scanning, analysis, and remediation, significantly enhancing an organization’s security posture.

What is the Nessus MCP Server?

The Nessus MCP Server acts as a bridge between AI models and the Tenable Nessus vulnerability scanner. It implements the Model Context Protocol (MCP), a standardized way for applications to provide context to Large Language Models (LLMs). This server allows AI assistants to perform vulnerability scanning and analysis by translating AI commands into Nessus API calls and relaying the results back to the AI agent.

Key Features:

• Vulnerability Scanning: Initiate and monitor vulnerability scans against specified targets.
• Scan Management: List, track, and retrieve results from vulnerability scans.
• Vulnerability Analysis: Search for and get detailed information about specific vulnerabilities.
• Mock Mode: Fully functional mock mode for testing without a Nessus API key, facilitating development and experimentation without requiring a live Nessus instance.

Tools Provided:

The server exposes a suite of tools designed to streamline vulnerability management:

Use Cases

The Nessus MCP Server unlocks several compelling use cases for integrating vulnerability scanning with AI:

• Automated Vulnerability Prioritization: AI agents can analyze scan results from Nessus, correlate them with threat intelligence feeds, and prioritize vulnerabilities based on their potential impact and exploitability. This ensures that security teams focus on the most critical issues first.
• Intelligent Patch Management: By combining vulnerability data with system configuration information, AI agents can recommend specific patches to address identified vulnerabilities, automating and streamlining the patch management process.
• Continuous Security Monitoring: The server enables continuous vulnerability scanning, allowing AI agents to detect and respond to new vulnerabilities as they emerge, providing a proactive security posture.
• AI-Driven Penetration Testing: AI agents can use the server to orchestrate penetration tests, automatically identifying and exploiting vulnerabilities in a controlled environment.
• Security Policy Enforcement: AI agents can verify that systems are configured according to security policies by using the server to scan for configuration vulnerabilities, ensuring compliance and reducing risk.
• Automated Compliance Reporting: AI agents can generate compliance reports based on Nessus scan data, simplifying the process of meeting regulatory requirements.

Example Interactions:

• Starting a Scan:

  start_scan: target: 192.168.1.1 scan_type: basic-network-scan

• Getting Scan Results:

  get_scan_results: scan_id: scan-1234567890

• Searching for Vulnerabilities:

  search_vulnerabilities: keyword: log4j

Installation and Setup

Installing and setting up the Nessus MCP Server is straightforward:

Prerequisites:

• Node.js 16 or higher
• TypeScript (for development)

Building from Source:

1. Clone the repository:

   git clone https://github.com/Cyreslab-AI/nessus-mcp-server.git cd nessus-mcp-server

2. Install dependencies:

   npm install

3. Build the server:

   npm run build

Running the Server:

• Mock Mode: Run the server in mock mode for testing without a Nessus API key:

  node build/index.js

• With Nessus API: To connect to a real Nessus instance, set the following environment variables:

  NESSUS_URL=https://your-nessus-instance:8834 NESSUS_ACCESS_KEY=your-access-key NESSUS_SECRET_KEY=your-secret-key

  Then run the server:

  node build/index.js

Integrating with Claude for Desktop:

To use the server with Claude for Desktop, configure the claude_desktop_config.json file with the server details, including the command to execute the server and any necessary environment variables.

Development and Contribution

The Nessus MCP Server project is structured to facilitate development and contribution:

• src/index.ts: Main server entry point.
• src/nessus-api.ts: Nessus API client with mock fallback.
• src/mock-data.ts: Mock vulnerability data for testing.
• src/tools/: Tool implementations.
• src/utils/: Utility functions.

Adding new tools involves defining the tool schema and handler in the appropriate file in src/tools/ and registering the tool in src/index.ts.

The Power of UBOS Integration

The Nessus MCP Server seamlessly integrates with the UBOS full-stack AI Agent Development Platform. UBOS empowers businesses to:

• Orchestrate AI Agents: Design and manage complex workflows involving multiple AI agents interacting with various tools and data sources.
• Connect with Enterprise Data: Securely connect AI agents with your enterprise data, enabling them to access the information they need to make informed decisions.
• Build Custom AI Agents: Customize AI agents with your LLM model, tailoring them to your specific business needs.
• Create Multi-Agent Systems: Develop sophisticated multi-agent systems to automate complex tasks and processes.

By leveraging the UBOS platform, you can further enhance the capabilities of the Nessus MCP Server and unlock even more value from your vulnerability scanning data.

Conclusion

The Nessus MCP Server is a powerful tool for bridging the gap between vulnerability scanning and AI. By integrating with the UBOS platform, organizations can automate vulnerability management, improve their security posture, and reduce their risk of cyberattacks. Embrace the future of cybersecurity with the Nessus MCP Server on the UBOS Asset Marketplace.

License: MIT

Disclaimer: This server is not affiliated with or endorsed by Tenable. Nessus is a trademark of Tenable, Inc.