UpGuard CyberRisk MCP Server

The UpGuard CyberRisk MCP server acts as a bridge between AI assistants and the comprehensive security‑risk management capabilities of UpGuard’s CyberRisk API. By exposing a rich set of tools, prompts, and schema‑validated data through the Model Context Protocol, it enables developers to embed real‑time threat intelligence and risk assessment directly into conversational agents. This eliminates the need for custom API wrappers, allowing AI assistants to query and orchestrate complex security workflows with a single, standardized interface.

At its core, the server offers 67 API tools grouped into 13 categories that cover every phase of security operations—from asset discovery and vendor monitoring to breach investigation and compliance reporting. Each tool is wrapped with a Zod schema, ensuring that inputs and outputs are rigorously validated and that AI assistants receive predictable, type‑safe responses. The interactive Swagger UI and Redoc pages provide developers with instant documentation and a sandbox for testing endpoints, while CI/CD hooks automate the deployment of updated schemas and prompts.

A standout feature is the collection of 25 enhanced prompts released in v1.4.0, designed to guide users through multi‑step security processes. Prompts such as or orchestrate several underlying tools, delivering end‑to‑end workflows that would otherwise require dozens of API calls. This step‑by‑step guidance is especially valuable for roles like CISOs, security analysts, and compliance officers who need to generate executive dashboards or monthly risk reports without writing code. The prompts also support role‑based execution, allowing the same assistant to adapt its behavior based on the user’s permissions or expertise level.

Real‑time risk assessment is another key capability. The server continuously monitors vendor activity, detects new breaches, and evaluates domain risks such as typosquatting. Prompts like automate the onboarding of new third‑party vendors, ensuring that risk data is collected and stored consistently. This automation not only speeds up the security lifecycle but also embeds best practices into every interaction, reducing human error and improving compliance posture.

Integrating the UpGuard MCP server into AI workflows is straightforward: developers simply register the server’s URL with their Claude or other MCP‑compliant assistant, then reference the desired tool or prompt in a conversation. The assistant can fetch up‑to‑date risk scores, generate audit reports, or trigger alerting pipelines—all within the natural flow of dialogue. This seamless integration turns an AI assistant into a proactive security partner, capable of recommending mitigations, prioritizing threats, and generating documentation on demand.