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stride-gpt MCP Server

mrwadams/stride-gpt

Score: 80.5 → 0% Rank #1822 MCP Server
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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.

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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

Python MIT 25 pypi/wk
ai-securityapplication-securityattack-treescybersecuritydreadgenerative-aillmmcpmitre-attacksecurity-toolsstreamlitstridethreat-modeling

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,141

1,141 stars → well-known project

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 75%

50/67 issues closed → decent issue management

Contributors 10% 10

10 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 25/wk

25 weekly installs → early adoption

Forks 333
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

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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)

## Suppor
Read full README on GitHub →

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