Low-Code vs. Power User Modes

Published on 30 June 2025 • Updated on 3 July 2025

Low-Code vs. Power User Modes

What does a low-code user experience look like?

MCP Servers are designed to make powerful cybersecurity workflows accessible, even for those without coding experience. In low-code mode, users simply express what they want in natural language, and the system handles the rest.

Example Request: “Find the most active threat actors targeting financial institutions in Brazil this week. Prioritize ransomware groups.”

What happens under the hood:

• The prompt is converted into an MCP task:

{
  "task": "threat_actor_lookup",
  "region": "Brazil",
  "sector": "Finance",
  "filters": ["ransomware"],
  "sources": ["SOCRadar", "VirusTotal", "OpenCTI"]
}

• The agent selects relevant MCP Servers:
  • mcp-socradar-intel
  • mcp-virustotal-ioc
  • mcp-opencti-threatfeed
• Results are fetched, enriched, and summarized, without the user ever knowing which tools were invoked or how.

This is the true magic of low-code AI: you describe what you want, not how to do it.

How can power users specify exact execution paths and servers?

For analysts or engineers who demand full control, MCP supports explicit tool routing and parameter-level configuration.

Power user example: “Use SOCRadar’s MCP Server for threat actor correlation, and cross-check IPs with VirusTotal. Limit to actors active in the last 7 days.”

{
  "task": "custom_threat_correlation",
  "steps": [
    {
      "action": "query_threat_actor",
      "server": "mcp-socradar-intel",
      "filters": {
        "region": "Brazil",
        "sector": "Finance",
        "date_range": "last_7_days"
      }
    },
    {
      "action": "check_ioc_reputation",
      "server": "mcp-virustotal",
      "ioc_field": "related_ips"
    }
  ]
}

In this example:

• The execution path is predefined
• Tools are locked to specific servers
• Output can be tuned per step
• No surprises in what runs where

This level of control is ideal for red teams, incident responders, or any team dealing with sensitive data or high-assurance requirements.

In short:

Whether you’re building a no-touch AI agent or a highly controlled orchestration pipeline, MCP adapts to your needs.