Introducing SOCRadar MCP Server: AI-Powered Cybersecurity Intelligence for Enterprises

SOCRadar is now launching the first enterprise-grade MCP Server built specifically for security operations. This launch marks a major step in transforming how artificial intelligence is integrated into the cybersecurity domain.

The Model Context Protocol (MCP) is an emerging standard that enables AI systems to interact with specialized tools by using structured context and intent-based commands. Instead of building individual connectors for each tool, MCP standardizes how agents send tasks, removing the need for one-off integrations. An MCP server acts as a bridge between AI assistants and enterprise platforms, allowing natural language queries to drive real-time operations such as threat analysis, report generation, and incident management.

With SOCRadar MCP Server, this capability is no longer theoretical. It gives teams access to over 35 specialized tools across eight security domains, delivering an operational leap in visibility, automation, and response.

What Is the SOCRadar MCP Server?

The SOCRadar MCP Server is an advanced, AI-integrated cybersecurity platform designed to elevate security operations. It enables any AI assistant to function as a cybersecurity analyst, capable of managing complex tasks, conducting threat investigations, and responding to incidents using natural language. By integrating directly with SOCRadar’s ecosystem, the MCP Server gives security teams access to threat intelligence, vulnerability data, ransomware monitoring, and much more, without switching between multiple tools.

Why It Matters for Security Teams

The MCP Server transforms how teams interact with threat intelligence and incident response data. Analysts can run investigations through conversational prompts, while CISOs receive executive briefings generated in real-time. Red and Blue Teams can simulate or defend against attacks using dynamic, task-based workflows. SOC teams benefit from automating routine investigations and lookups, while agent orchestration platforms can scale operations with minimal integration overhead. Instead of navigating fragmented platforms, teams gain centralized access through AI, resulting in quicker detection and more efficient investigations.

It allows teams to:

• Automate investigations with natural language commands.
• Scale advanced analysis across multiple incidents.
• Reduce operational friction by eliminating platform switching.
• Expand threat intelligence access to teams of any size.
• Operate at scale with production-ready infrastructure.

What Makes MCP Different from APIs?

While traditional APIs require developers to call specific functions with set parameters, MCP lets AI agents run entire workflows – like “investigate this phishing email” – through structured intent. MCP Servers decide how to execute the task, which tools to use, and what steps to take.

In short, APIs give you buttons to press. MCP gives your agent the playbook.

A Full-Featured Platform Built for Enterprise

SOCRadar MCP Server provides direct access to 35+ specialized tools across eight core cybersecurity domains:

• Incident Management (6 tools): Perform natural language searches across large incident datasets, uncover trends through automated analysis, generate role-based reports for executives and analysts, and manage workflows with AI-assisted assignment, escalation, and resolution features.
• Cyber Threat Intelligence (3 tools): Leverage SOCRadar’s platform to access deep underground threat data, investigate indicators with context, hunt threats in real time, and attribute activity to known adversaries.
• Vulnerability Intelligence (5 tools): Track CVEs in real time, prioritize vulnerabilities based on your environment, and stay ahead of risk through timely monitoring and alerting on newly disclosed threats.
• Threat Actor Intelligence (7 tools): Build structured profiles of threat actors, correlate indicators with known groups, and monitor campaign evolution based on tactics, techniques, and procedures (TTPs).
• IoC Enrichment (7 tools): Enrich indicators such as IPs, domains, hashes, and URLs using high-throughput bulk analysis, reputation scoring, and contextual insights from SOCRadar’s global intelligence.
• Ransomware Intelligence (3 tools): Monitor ransomware victims and campaigns in real time, identify attack patterns, and anticipate future targeting strategies.
• Identity Intelligence (5 tools): Detect exposed credentials across the Dark Web, evaluate breach impact, and follow stealer log activity to uncover potential compromises tied to your assets.
• Attack Surface Management (2 tools): Discover digital assets and assess risk to reduce exposure, helping you understand and defend your external footprint.

These tools work together to turn fragmented data into actionable intelligence, supporting investigations, digital footprint assessments, surfacing hidden threats, and enabling informed security decisions across the organization.

Seamless AI Integration

The SOCRadar MCP Server enables AI assistants to engage with cybersecurity data using natural language. This eliminates the need to navigate multiple dashboards or learn complex interfaces.

Security teams can investigate threats, generate briefings, or analyze campaigns simply by asking. For example, analysts can request malware incidents grouped by threat actors, while executives can ask for automated briefings.

The AI generates real-time insights based on thousands of threat indicators, CVEs, and live campaigns, offering a level of accessibility that traditional interfaces cannot match.

Example 1:

👤 Security Analyst: “Show me all critical incidents from the last 24 hours involving malware and group them by threat actor.”

🤖 AI Assistant: “I found 7 critical malware incidents. Here’s the breakdown:

• APT29 (3 incidents targeting finance)
• Lazarus Group (2 incidents focused on cryptocurrency)
• Scattered Spider (2 incidents via social engineering)

Would you like me to investigate any specific campaign?”

Example 2:

👤 CISO: “Generate an executive briefing on our current threat landscape.”

🤖 AI Assistant: “I’ve analyzed 156 incidents, 2,847 threat indicators, and current vulnerability exposure. Key findings:

• 🔴 Critical: 1 new APT campaign targeting your sector
• 🟡 Medium: 3 active zero-days requiring attention
• 🟢 Positive: Mean time to resolution has improved by 89%

A full executive report is ready with recommendations.”

Whether the request comes from an analyst seeking threat context or an executive looking for a strategic overview, the MCP Server tailors its responses accordingly. Reports are not generic; they are dynamically generated using real-time data, contextual filters, and relevant visualizations.

Expected benefits include improved investigation speed, greater intelligence utilization, and significantly reduced training time for analysts. The platform is also designed to deliver highly accurate automated threat classification and faster threat detection.

Compatible with Major LLMs and Security Tools

MCP Servers are model-agnostic by design. They work with a wide range of large language models, including GPT, Claude, Gemini, LLaMA, and others. These servers also support structured integrations with tools like Nmap, VirusTotal, Shodan, Elasticsearch, and automation frameworks such as LangGraph, CrewAI, and AutoGen.

As long as a tool can interpret structured JSON tasks, it can be made MCP-compatible, enabling AI-powered automation even for traditional, command-line utilities. The SOCRadar MCP Server leverages this flexibility too.

Deployment Options and Access Requirements

SOCRadar offers both a hosted version of the MCP Server and a self-deployable option. Authentication is required to activate the platform’s core and extended functionalities.

To get started:

1. Retrieve your API credentials from the SOCRadar platform.
2. Visit the MCP Server URL and initiate the integration.
3. Connect using your Company ID and API Key to activate core access.

For deeper integrations and advanced capabilities – such as threat actor profiling, ransomware tracking, vulnerability intelligence, and credential exposure monitoring – teams can also provide optional API keys tied to those specific modules. These enhanced credentials unlock full access to SOCRadar’s specialized datasets and analysis layers across key threat intelligence domains.

How to Integrate SOCRadar MCP Server with Your AI Agent

You can integrate the SOCRadar MCP Server with AI platforms like Claude in just a few steps:

Step 1: Open Your Assistant’s Integration Settings 

Go to your platform’s Integrations tab to manually add SOCRadar as a custom integration.

Step 2: Add the Integration URL 

Click “+ Add integration” and edit the entry to include the MCP Server endpoint:

https://mcp.socradar.com

Once saved, SOCRadar will appear in your integrations list, marked as ready to connect.

Step 3: Authorize the Integration

Click Connect, and you’ll be prompted to enter your credentials:

• SOCRadar API Key
• Company ID

You may also enter optional keys to unlock advanced modules such as CTI Threat Investigation, Vulnerability Intelligence, Identity Intelligence, Ransomware Intelligence, and more.

After successful authorization, the status will change to Connected under the SOCRadar entry.

Step 4: Access the Tools in the Chat Interface

Within your assistant environment, open the integration menu and select “Add from SOCRadar” to launch available tools.

After connecting, you’ll see a list of predefined prompts like ciso_industry_threats, architect_vulnerability_report, or red_team_find_exploits. These are powered by SOCRadar modules and can be invoked by natural language prompts.

Conclusion

The SOCRadar MCP Server marks a big step forward in cybersecurity operations. By combining SOCRadar’s intelligence-rich ecosystem with AI accessibility, it provides security teams with an unmatched edge. This is not just a tool; it is a scalable, enterprise-ready platform that enhances human expertise through automation, context, and speed.