AI SOC Agent MCP Server

AI SOC Agent MCP Server

Enables SOC analysts to analyze security incidents, map to MITRE ATT&CK, calculate severity, and recommend remediation actions.

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README

Agentic AI Security Operations Platform

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An Agentic AI-powered Security Operations Platform that automates security investigations through a coordinated multi-agent workflow. The platform combines threat detection, threat intelligence enrichment, MITRE ATT&CK mapping, case management, FastAPI services, and a React dashboard to help analysts investigate and prioritize security incidents.

The project demonstrates practical implementation of Agentic AI architectures, Model Context Protocol (MCP), Pydantic AI, multi-agent systems, and security automation within a modern Security Operations Center (SOC) environment.


Key Features

Agentic AI Investigation Workflow

Security incidents are processed through a coordinated multi-agent pipeline where each agent performs a specialized security function before passing context to the next stage.

Agents include:

  • Log Collection Agent
  • Detection Agent
  • MITRE ATT&CK Agent
  • Threat Intelligence Agent
  • Correlation Agent
  • Severity Escalation Agent
  • Case Management Agent
  • Investigation Agent

The workflow produces structured investigation outputs containing threat intelligence enrichment, MITRE ATT&CK mappings, escalation decisions, and analyst recommendations.

Threat Intelligence Enrichment

  • IP Reputation Analysis
  • Geographic Attribution
  • Threat Scoring
  • Risk Prioritization
  • Security Context Enrichment

MITRE ATT&CK Integration

The platform maps security events to MITRE ATT&CK techniques and tactics, helping analysts understand attacker behavior and investigation priorities.

Attack Type MITRE ATT&CK Technique
SQL Injection T1190 – Exploit Public-Facing Application
Brute Force T1110 – Brute Force
XSS T1059 – Command and Scripting Interpreter

Case Management

  • Case Creation
  • Case Search
  • Analyst Notes
  • Investigation Updates
  • Escalation Decisions
  • Severity Tracking
  • Investigation History

Security Monitoring Dashboard

  • Security Overview Metrics
  • Incident Tracking
  • AI Escalated Cases
  • Threat Intelligence Panel
  • MITRE ATT&CK Context
  • Executive Dashboard
  • Threat Hunting Workspace
  • Interactive Investigation Portal

Architecture

flowchart TD
    A[Windows Logs] --> G[Log Collection]
    B[Linux Logs] --> G
    C[AWS Logs] --> G
    D[Azure Logs] --> G
    E[Firewall Logs] --> G
    F[Application Logs] --> G

    G --> H[Detection Engine]
    H --> I[Threat Intelligence]
    I --> J[MITRE ATT&CK Mapping]
    J --> K[Multi-Agent Workflow]
    K --> L[Case Management]
    L --> M[FastAPI Services]
    M --> N[React Dashboard]

Multi-Agent Investigation Workflow

flowchart TD
    A[Security Event] --> B[Log Collection Agent]
    B --> C[Detection Agent]
    C --> D[MITRE ATT&CK Agent]
    D --> E[Threat Intelligence Agent]
    E --> F[Correlation Agent]
    F --> G[Severity Escalation Agent]
    G --> H[Case Management Agent]
    H --> I[Investigation Agent]
    I --> J[Final Investigation Report]

Security Capabilities

Threat Detection

  • SQL Injection Detection
  • Brute Force Detection
  • Cross-Site Scripting (XSS) Detection
  • API Abuse Detection
  • Session Hijacking Detection
  • Correlated Multi-Vector Attacks

Investigation & Response

  • Incident Correlation
  • Threat Prioritization
  • Severity Escalation
  • Investigation Tracking
  • Analyst Notes
  • Executive Reporting

AI Technologies

Agentic AI

The platform uses a coordinated multi-agent architecture where specialized agents collaborate to investigate security incidents and generate investigation outcomes.

Pydantic AI

Used for:

  • Structured investigation outputs
  • Data validation
  • Agent communication
  • Investigation reporting
  • Workflow orchestration

Model Context Protocol (MCP)

Used for:

  • Security investigation tools
  • Threat intelligence enrichment
  • Incident analysis workflows
  • Agent-to-tool communication
  • Extensible security integrations

Local LLM Ready Architecture

The platform is designed for future integration with local Large Language Models including:

  • Ollama
  • Qwen
  • On-premise Security LLM Deployments

This architecture enables future AI-generated investigation summaries and analyst recommendations while maintaining local control of security data.


Backend Technologies

  • Python
  • FastAPI
  • Pydantic AI
  • MCP
  • REST APIs
  • JSON Investigation Pipeline
  • Multi-Agent Workflow Engine
  • GitHub Actions CI/CD

Frontend Technologies

  • React
  • Vite
  • React Router
  • Axios
  • Socket.IO
  • Responsive Security Dashboard

API Endpoints

Platform Statistics

GET /statistics

High Priority Cases

GET /high-priority

Case Search

GET /cases

Case Details

GET /case/{case_id}

CI/CD

GitHub Actions automatically validates the platform by:

  • Installing project dependencies
  • Verifying Python syntax
  • Executing the Multi-Agent Orchestrator
  • Validating investigation workflow functionality
  • Ensuring successful builds before deployment

Learning Objectives

This project demonstrates practical implementation of:

  • Agentic AI Architectures
  • Security Operations Center (SOC) Workflows
  • Multi-Agent Systems
  • Pydantic AI
  • Model Context Protocol (MCP)
  • Threat Intelligence
  • MITRE ATT&CK
  • FastAPI Development
  • React Dashboards
  • CI/CD Pipelines
  • Security Automation

Future Enhancements

  • Ollama + Qwen Investigation Agent
  • AI-Generated Executive Summaries
  • Automated Threat Hunting
  • Advanced Correlation Rules
  • Database Persistence
  • Docker Deployment
  • Cloud-Native Security Integrations

Author

Navid Ghobadpour

Agentic AI Security Operations Platform

Built to explore the intersection of Cybersecurity, Agentic AI, Multi-Agent Systems, Pydantic AI, MCP, Threat Intelligence, and Security Automation.

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