Marshal MCP Vulnerability Scan Server

Overview

The Marshal MCP server is a specialized Model Context Protocol (MCP) endpoint that streamlines vulnerability‑scan orchestration for incident‑response teams. By exposing a concise MCP interface, it allows AI assistants—such as Claude—to trigger comprehensive scanning workflows without leaving the conversational context. The server accepts a minimal set of parameters describing a vulnerability and target URLs, then automatically generates nuclei proof‑of‑concept (POC) templates, uploads them to the Marshal platform, and schedules scans across a specified cluster. This end‑to‑end automation reduces manual configuration errors and speeds up the feedback loop between threat detection and remediation.

What Problem Does It Solve?

In traditional security operations, initiating a scan for a newly discovered vulnerability involves several manual steps: drafting a POC, uploading it to the scanning platform, configuring scan parameters (cluster, priority, ports), and finally launching the job. Each step can introduce latency or human error, especially when analysts must juggle multiple incidents simultaneously. Marshal MCP collapses these steps into a single API call that an AI assistant can invoke from within a chat. This eliminates repetitive copy‑paste tasks, ensures consistent configuration across scans, and enables rapid experimentation with different scanning parameters directly from the assistant.

Core Functionality & Value

At its heart, Marshal MCP orchestrates three key processes:

1. POC Generation – Given a vulnerability name and description, the server automatically crafts a nuclei template that encapsulates the exploit logic.
2. Marshal Integration – The generated POC is uploaded to the Marshal platform via a token‑authenticated API, making it available for reuse in future scans.
3. Scan Scheduling – A scan workflow is created and submitted to the specified cluster, with support for custom priorities, port ranges, and engine selection (e.g., naabu or osint).

These steps are exposed through the MCP protocol, allowing any compliant client to trigger them with a single request. Developers benefit from consistent, reproducible scan jobs that can be embedded in larger automation pipelines or triggered by AI‑driven incident alerts.

Key Features Explained

• Unified Input Model – The server accepts a compact set of parameters (vulnerability name, description, URL list, cluster, priority, etc.) that cover all necessary scan details.
• Customizable Scan Scope – Parameters such as , , and let users fine‑tune the depth and frequency of scans.
• Dual API Support – In addition to MCP, a RESTful HTTP interface is available for legacy integrations or scripted workflows.
• Token‑Based Authentication – Secure communication with Marshal’s API is enforced via an header automatically injected from the configuration file.
• Automatic Naming Convention – If a task name is omitted, the server generates one using the current date and vulnerability title, ensuring traceability.

Real‑World Use Cases

• Rapid Incident Response – An AI assistant detects a new CVE in a chat log and immediately initiates scans across the affected assets.
• Continuous Compliance Checks – Scheduled scans (via and ) keep an organization’s posture up‑to‑date without manual intervention.
• Threat Hunting Automation – Hunters can request scans for suspicious domains or IP ranges, receiving results back through the same conversational channel.
• DevSecOps Integration – CI/CD pipelines can call Marshal MCP to validate newly deployed services against known vulnerabilities before promotion.

Integration with AI Workflows

Developers can embed Marshal MCP calls within an AI assistant’s prompt or toolset. The assistant parses user intent (e.g., “scan for XSS on example.com”), translates it into the MCP parameter schema, and sends a request to the server. The assistant then streams back scan status updates or results, allowing analysts to iterate quickly. Because the server handles POC generation and upload internally, the assistant’s logic remains lightweight, focusing on natural language understanding rather than low‑level API choreography.

Unique Advantages

Marshal MCP’s tight coupling with the Marshal platform provides a single source of truth for POCs and scan jobs, eliminating duplication across tools. Its ability to generate nuclei templates on demand means analysts no longer need to maintain a library of static POCs. Finally, the dual protocol support (MCP and HTTP) ensures backward compatibility while encouraging modern, conversational AI integration.