# NOTICE

## 📌 Project Attribution

This project includes software and/or concepts derived from the original work:

**MCP Performance Suite (mcp-perf-suite)**
Created and architected by **Jason Smallcanyon**
© 2025 CanyonLabz

Original repository: https://github.com/canyonlabz/mcp-perf-suite

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## 🧠 Original Contributions

The original author, **Jason Smallcanyon**, is responsible for the design and development of key architectural concepts, including but not limited to:

* AI-driven performance testing workflows
* Playwright-based browser automation for network capture
* Step-aware network traffic modeling and transformation
* Automated JMeter (JMX) script generation
* Correlation detection and parameterization strategies
* MCP (Model Context Protocol) server architecture for performance engineering

These concepts form the foundation of this project and its derivatives.

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## 🔄 Modifications and Derivatives

This project may include modifications, extensions, or refactoring performed by other contributors.

In accordance with the MIT License:

* The original copyright notice must be preserved
* This NOTICE file should be included in all substantial portions of the software

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## 🙏 Attribution Request (Non-Binding)

If you use, modify, or build upon this project, you are encouraged to provide visible attribution to the original work.

Suggested attribution:

> "Based on MCP Performance Suite by Jason Smallcanyon (CanyonLabz)"

Including a link back to the original repository is greatly appreciated:

https://github.com/canyonlabz/mcp-perf-suite

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## ⚖️ License

This project is licensed under the MIT License.
See the `LICENSE` file for full details.

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## 🚀 About CanyonLabz

CanyonLabz is focused on building innovative solutions at the intersection of:

* Performance Engineering
* AI / LLM Testing
* Automation Frameworks
* Developer Tooling

For more information, visit: https://canyonlabz.com/

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