stride-gpt MCP Server
mrwadams/stride-gpt
[](https://agentrank-ai.com/tool/mrwadams--stride-gpt/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
mrwadams/stride-gpt is a Python tool licensed under MIT. An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology. Topics: ai-security, application-security, attack-trees, cybersecurity, dread, generative-ai, llm, mcp, mitre-attack, security-tools, streamlit, stride, threat-modeling.
Ranked #1822 out of 24846 indexed tools.
In the top 8% of all indexed tools.
Has 1,141 GitHub stars.
Has 10 contributors.
Ecosystem
Score Breakdown
1,141 stars → well-known project
Last commit 29d ago → recently updated
50/67 issues closed → decent issue management
10 contributors → active community
No dependents → no downstream usage
25 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
<p align="center"> </p> STRIDE GPT is an AI-powered threat modelling tool that leverages Large Language Models (LLMs) to generate threat models and attack trees for a given application based on the STRIDE methodology. Users provide application details, such as the application type, authentication methods, and whether the application is internet-facing or processes sensitive data. The model then generates its output based on the provided information. ## Table of Contents - [Support the Project](#support-the-project) - [Features](#features) - [Enterprise Deployment](#enterprise-deployment) - [Talk at Open Security Summit](#talk-at-open-security-summit) - [Changelog](#changelog) - [Installation](#installation) - [Repository layout](#repository-layout) - [Usage](#usage) - [Interactive REPL cheat sheet](#interactive-repl-cheat-sheet) - [Sample output](#sample-output) - [Security Best Practices](#security-best-practices) - [Contributing](#contributing) - [License](#license) ## SupporRead full README on GitHub →
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