Devici FAQs

Question 1

What specific Devici resources can LLMs manage?

Accepted Answer

LLMs can manage users, teams, collections, threat models, components, threats, mitigations, and comments. It also grants access to dashboard data, reports, audit logs, and Devici's Codex for attributes, threats, and mitigations.

Question 2

Which LLM platforms support this integration?

Accepted Answer

The Devici MCP Server is compatible with Model Context Protocol (MCP) clients such as Claude Desktop, Cline, Continue, and Cursor, offering seamless integration for AI-driven workflows.

Question 3

How does the server authenticate with Devici?

Accepted Answer

It uses secure client ID/secret-based authentication. Credentials are provided via environment variables (`DEVICI_CLIENT_ID`, `DEVICI_CLIENT_SECRET`) or a `.env` file for secure access to your Devici instance.

Question 4

What is the Devici MCP Server?

Accepted Answer

The Devici Model Context Protocol (MCP) Server allows Large Language Models (LLMs) to programmatically interact with the Devici platform API. It provides LLM tools for managing security data and threat models.

Question 5

What are the main benefits of using this tool?

Accepted Answer

It enables automation of security data management within Devici using LLMs, streamlines threat modeling processes, allows for AI-powered data retrieval and updates, and enhances DevSecOps workflows through intelligent agent interaction.

Devici

Devici

主要功能

使用案例

主要功能

使用案例