Turn ROADRecon Data Into Conversational Security Intelligence

If you've ever stared at a massive ROADRecon export wondering where to start your Azure AD security analysis, this MCP server is about to change your workflow entirely.

The Manual Analysis Problem

ROADRecon dumps incredible amounts of Azure AD data - users, groups, applications, permissions, role assignments, MFA status. But turning that raw data into actionable security insights? That's where the real work begins. You're either writing custom SQL queries, building scripts to parse JSON exports, or clicking through endless GUI tabs to piece together the security story.

Most security professionals end up with a pile of spreadsheets, half-finished analysis scripts, and that nagging feeling they missed something critical buried in the data.

Natural Language Security Analysis

This MCP server connects your ROADRecon data directly to Claude, turning complex security analysis into simple conversations. Instead of writing queries or parsing data structures, you just ask:

• "Find all users with privileged roles who don't have MFA enabled"
• "Show me applications with secrets that expire in the next 30 days"
• "Analyze the conditional access policies and tell me what's missing"
• "Which service principals have overly broad permissions?"

Claude handles the data parsing, correlation, and analysis - then delivers structured findings with context and recommendations.

Pre-Built Security Intelligence

The server comes loaded with security-focused tools and prompts that handle the most common Azure AD assessment tasks:

Immediate Analysis Tools:

• find_privileged_users() - Identifies high-risk administrative accounts
• analyze_mfa_status() - MFA deployment gaps and weaknesses
• identify_stale_accounts() - Dormant accounts that pose security risks
• analyze_service_principal_credentials() - Over-permissioned apps with long-lived secrets
• analyze_legacy_authentication() - Legacy auth protocols bypassing modern security

Ready-to-Use Assessment Prompts:

• Comprehensive security posture analysis
• Privileged access model review
• Application security risk assessment
• Identity security configuration analysis
• Complete environment security review

Real-World Security Scenarios

Incident Response: "Analyze all accounts accessed in the last 30 days and highlight any privilege escalation paths through group memberships or role assignments."

Compliance Auditing: "Generate a report showing MFA compliance rates across different user groups and identify any privileged accounts without MFA."

Penetration Testing: Claude can identify attack paths by correlating user permissions, group memberships, and application access patterns that might not be obvious from looking at individual data points.

Security Baseline Reviews: "Compare this tenant's security configuration against Azure AD security best practices and prioritize the biggest risks."

Integration Into Security Workflows

The MCP server fits naturally into existing security toolchains. Your ROADRecon data collection stays the same - you just pipe the results through Claude for analysis instead of manual review.

Run your standard ROADRecon collection, start the MCP server pointing to your data, then have intelligent conversations about what you found. The analysis scales from quick spot checks to comprehensive security assessments without changing your underlying process.

For security teams doing regular Azure AD assessments, this eliminates the repetitive data analysis work and lets you focus on acting on findings rather than generating them.

Quick Start:

1. Point to your existing ROADRecon database or web GUI
2. Connect Claude Desktop to the MCP server
3. Start asking security questions in natural language

The server handles all the data access, correlation, and formatting - you get back actionable security intelligence instead of raw data dumps.

Transform your Azure AD security analysis from tedious data parsing into strategic security conversations. Your ROADRecon data finally becomes as intelligent as the tool that collected it.