ROADrecon MCP Server

The ROADrecon MCP Server bridges the powerful security analytics of the ROADtools suite with AI assistants that understand the Model Context Protocol. By exposing Azure AD data from a running ROADRecon instance as resources and turning its analytical routines into callable tools, the server allows assistants such as Claude to perform real‑time, data‑driven investigations without leaving the chat interface. This eliminates the need for developers to manually export logs, run scripts, or switch contexts between a security platform and an AI workspace.

At its core, the server translates RESTful endpoints of ROADRecon into MCP resource paths like or . These resources can be queried directly by an assistant to retrieve structured JSON about users, groups, service principals, and more. The toolset then provides higher‑level operations—, , and —that encapsulate complex queries, filtering, and risk scoring. Pre‑built prompts such as or combine these tools into comprehensive reports, enabling a single conversational request to trigger a full security assessment.

Developers benefit from the server’s tight integration with existing Azure AD environments. Instead of re‑implementing data access layers or writing custom parsers, they can rely on ROADRecon’s proven data model and analytics engine. The MCP interface ensures that assistants receive consistent, versioned outputs, while the server handles authentication and rate limiting behind the scenes. This architecture also supports extensibility: new ROADtools modules or custom scripts can be exposed as additional tools with minimal effort.

Typical use cases include compliance audits, where an assistant can automatically generate MFA coverage reports; incident response, where it can surface users with privileged roles and stale credentials; or continuous monitoring, where scheduled prompts evaluate the state of conditional access policies. By embedding these capabilities into conversational workflows, security teams can ask natural language questions and receive actionable insights instantly—streamlining triage, reducing manual effort, and accelerating remediation.

In summary, the ROADrecon MCP Server turns a mature Azure AD security platform into an AI‑ready data source and analytics engine. Its resource mapping, toolset abstraction, and prompt templates provide developers with a robust, low‑friction bridge between machine learning assistants and enterprise security posture data.