roadrecon_mcp_server
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The ROADrecon MCP Server provides AI assistants like Claude with access to ROADRecon Azure AD data for security analysis.
The ROADrecon MCP Server is designed to integrate with AI assistants, such as Claude, to facilitate security analysis of Azure Active Directory (AD) data. By leveraging the ROADtools suite, this server allows users to access and analyze their Azure AD data through a model context protocol. The server supports various security analysis tasks, including identifying privileged users, analyzing multi-factor authentication (MFA) deployment, and assessing application security risks. It requires a running ROADRecon instance and a compatible client to function. The server offers a range of resources and tools to perform comprehensive security assessments, making it a valuable asset for organizations looking to enhance their Azure AD security posture.
Features
- Access Azure AD data from your ROADRecon instance
- Run security analysis on the data
- Pre-built analysis templates for common security tasks
Tools
find_privileged_users
Find users with high privilege roles
analyze_mfa_status
Analyze the user's MFA deployment
find_applications_with_secrets
Find an application with a key or certificate
analyze_groups
Analyze group types and membership
identify_stale_accounts
Find accounts that have not been logged in or have changed their password for a long time
analyze_pim_implementation
Evaluate the implementation of Privileged Identity Management (PIM)
analyze_service_principal_credentials
Find an over-permission service principal with long-term credentials
analyze_legacy_authentication
Identify risks of bypassing MFA's legacy authentication protocols
analyze_conditional_access_policies
Analyze conditional access policies
