Devici MCP
D

Devici MCP

The Devici MCP Server is a model context protocol server used to interact with the Devici API, providing LLM tools to manage users, collections, threat models, components, threats, mitigation measures, teams, and dashboard data.
2.5 points
7.7K

What is the Devici MCP Server?

The Devici MCP server is a tool connected to the Devici API that allows users to interact with the Devici platform through simple commands. It can manage users, teams, threat models, components, threats, and mitigation measures, etc.

How to Use the Devici MCP Server?

By installing and configuring environment variables, you can use the Devici MCP server through the command line or integrate it into other development tools. It supports multiple usage methods, including direct running or installation via a package manager.

Use Cases

This server is suitable for developers, security teams, and project managers who need to interact with the Devici platform. It is suitable for scenarios that require managing security data, threat models, and team collaboration.

Main Features

User Management
You can get, search for, and invite users, facilitating team collaboration.
Threat Model Management
It can create, get, and manage threat models, helping to analyze potential risks in the system.
Component and Threat Management
It supports classifying, querying, and creating system components and threats.
Team Management
You can create and manage teams, assign members, and view team information.
Reports and Dashboards
It provides threat model statistical information and report data, helping with data analysis.
Audit Logs
It records operation history for easy tracking and review.
Advantages
Comprehensively covers the functions of the Devici API
Easy to integrate into existing development processes
Supports multiple usage methods (command line, package manager)
Good error handling and validation mechanisms
Limitations
Requires Devici API access permissions
Depends on correct environment variable configuration
May require additional guidance for non-technical users

How to Use

Install the Server
Install the Devici MCP server from GitHub or PyPI using uv or pip.
Configure Environment Variables
Set DEVICI_API_BASE_URL, DEVICI_CLIENT_ID, and DEVICI_CLIENT_SECRET.
Run the Server
Run the devici-mcp-server command in the terminal to start the service.

Usage Examples

Manage Team Members
You can use the Devici MCP server to create new teams and add team members.
Analyze Threat Models
Understand the security status of the system by obtaining threat model statistical data.

Frequently Asked Questions

What credentials do I need to use the Devici MCP server?
How can I get my Devici API credentials?
What should I do if I encounter an error?

Related Resources

Devici Official Documentation
Detailed documentation of the Devici platform, including API descriptions and usage guides.
GitHub Repository
Source code and project information of the Devici MCP server.
Quick Start Guide
Detailed quick start guide to help you start using the Devici MCP server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "devici": {
      "command": "uvx",
      "args": ["git+https://github.com/geoffwhittington/devici-mcp.git"],
      "env": {
        "DEVICI_API_BASE_URL": "https://api.devici.com/v1",
        "DEVICI_CLIENT_ID": "your-client-id-here",
        "DEVICI_CLIENT_SECRET": "your-client-secret-here"
      }
    }
  }
}

{
  "mcpServers": {
    "devici": {
      "command": "uvx",
      "args": ["devici-mcp-server"],
      "env": {
        "DEVICI_API_BASE_URL": "https://api.devici.com/v1",
        "DEVICI_CLIENT_ID": "your-client-id-here",
        "DEVICI_CLIENT_SECRET": "your-client-secret-here"
      }
    }
  }
}

{
  "mcpServers": {
    "devici": {
      "command": "uvx",
      "args": ["git+https://github.com/geoffwhittington/devici-mcp.git"],
      "env": {
        "DEVICI_API_BASE_URL": "https://api.devici.com/api/v1",
        "DEVICI_CLIENT_ID": "your-client-id-here",
        "DEVICI_CLIENT_SECRET": "your-client-secret-here"
      }
    }
  }
}

{
  "mcpServers": {
    "devici": {
      "command": "devici-mcp-server",
      "env": {
        "DEVICI_API_BASE_URL": "https://api.devici.com/api/v1",
        "DEVICI_CLIENT_ID": "your-client-id-here",
        "DEVICI_CLIENT_SECRET": "your-client-secret-here"
      }
    }
  }
}

{
  "mcpServers": {
    "devici": {
      "command": "python",
      "args": ["-m", "devici_mcp_server"],
      "env": {
        "DEVICI_API_BASE_URL": "https://api.devici.com/api/v1",
        "DEVICI_CLIENT_ID": "your-client-id-here",
        "DEVICI_CLIENT_SECRET": "your-client-secret-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
9.4K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.5K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
7.6K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.4K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
8.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.2K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
56.7K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
52.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.0K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
37.6K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
78.3K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase