SOCRadar has launched its MCP Server to enable secure integration between artificial intelligence models and its threat intelligence platform for cybersecurity professionals.
The MCP Server introduces the Model Context Protocol, a standard interface designed to facilitate secure connections between AI language models and external data sources. Through this server, AI assistants can access real-time threat intelligence information, interact with databases and APIs, and utilise various services while ensuring security boundaries are preserved.
Facilitating human–AI collaboration
According to SOCRadar, cybersecurity teams are increasingly adopting AI agents in their workflows, particularly for threat analysis and incident response. In response, the company developed the MCP Server to offer standardised, controlled access to its threat intelligence databases and security tools.
“Microsoft CEO Satya Nadella said it best: ‘Human language is the new UI layer.’ That’s exactly why we launched our MCP server. We believe the future of cybersecurity lies in seamless human–AI collaboration. Security threats are evolving too fast for traditional, manual processes to keep up. By allowing AI assistants to access our threat intelligence in real time through natural language, we’re giving security teams the ability to respond faster, with more context, and far less friction,” said Huzeyfe Onal, CEO of SOCRadar.
Simplifying operational workflow
The MCP Server allows security teams to interact with SOCRadar’s threat intelligence services through conversational requests, bypassing the need to navigate the existing user interface or memorise workflows. Designated commands, such as “Show me my critical assets exposed to the latest Citrix vulnerability” or “Give me the top CVEs affecting my attack surface today,” can be issued directly to the MCP Server, which interprets, executes, and provides actionable results on demand.
SOCRadar stated this process eliminates interface overload, helping teams focus on managing vulnerabilities and threat responses rather than administrative tasks.
Reporting and integration capabilities
Security professionals can use the MCP Server to generate reports quickly, including daily threat updates, geo-targeted actor profiles, or environment-specific vulnerability snapshots. Sample requests include: “SOCRadar, create a report on threat actors targeting energy companies in the US over the past week.” The company reports that such reports are generated dynamically in seconds, removing the need for templates or filter adjustments.
In addition to these features, the MCP Server supports integration with AI-driven SOC platforms and internal AI agents. The server functions as a gateway for systems to enrich indicators of compromise (IOCs), retrieve CVE intelligence, automate response actions, and trigger custom playbooks, all without the need for additional API development.
SOCRadar explained that this allows existing AI agents to access the company’s platform by simply sending requests, with the server managing the interpretation and fulfilment of tasks. “With SOCRadar’s MCP server, there’s no need to build brittle APIs. The agent just asks, and SOCRadar answers,” the company explained.
Platform reach
SOCRadar provides threat intelligence services to over 800 customers in 70 countries. Its Extended Threat Intelligence Platform incorporates artificial intelligence and machine learning to deliver threat detection and actionable intelligence for proactive cybersecurity efforts. Product offerings include cyber threat intelligence, external attack surface management, brand protection, dark web monitoring, and supply chain threat intelligence.
