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ai-toolkit

MCP.Pizza Chef: cypress-io

Improve how your AI coding assistants write, fix, and explain Cypress tests by adding Cypress-specific knowledge and best practices. This toolkit works with AI tools like Cursor, Claude, and GitHub Copilot, letting you get reliable, consistent Cypress test code without needing to teach your AI every detail. Setup is simple with copy-paste config or npx install, and it integrates into your existing AI workflow.

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Use This MCP server To

Write new Cypress tests that follow best practices Fix broken Cypress tests with AI guidance Explain what a Cypress test does in plain language Research Cypress documentation quickly via AI Integrate Cypress AI skills into my existing AI coding tool

README

Cypress Cypress

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✨ Cypress AI Toolkit

Open-source Cypress AI skills, built by the Cypress team. Works with Claude, Cursor, GitHub Copilot, and more.

Your AI tool is capable. It just does not know Cypress the way you do. The toolkit fixes that with skills, context, and guidance built by the team that built Cypress.

Cypress also ships AI capabilities in the App and Cypress Cloud - such as cy.prompt(), Studio AI, Cloud MCP, Test Intent and Error Summaries, and UI Coverage test generation. Learn more in the Cypress AI documentation.

The problem this solves

AI tools can work with Cypress. What they struggle with is applying it consistently and correctly.

Without guidance, AI tools fall back on generic patterns — underusing the Cypress API, misapplying selectors, skipping best practices that experienced Cypress developers internalize over time. The result is output that technically runs but that you can't rely on.

The Cypress AI Toolkit gives your AI tools the Cypress-specific context they need to produce output you can actually build on — consistently, across your team and your workflows.

What's in the toolkit

Model Context Protocol (MCP)

The Cypress Cloud MCP server connects your AI coding assistants directly to Cypress Cloud, giving them access to data regarding your application's health and stability.

More information about the Cypress Cloud MCP is available here.

Note: The MCP connection will utilize OAuth by default. If you would prefer to use a Personal Access Token (PAT) you will need to adjust the .mcp.json file for your agent.

Skills

Skills are instruction sets your AI tool loads to apply Cypress-specific knowledge when generating or reviewing test code. They fill the gap between what an AI learned during training and what current, well-written Cypress tests actually look like.

Three skills are available now:

ai-toolkit FAQ

Can I use this to improve AI-generated Cypress test code?
Yes — it guides AI tools like Claude, Cursor, and GitHub Copilot to write Cypress tests that follow best practices and conventions.
Can I use this to understand or explain existing Cypress tests?
Yes — it includes skills that help your AI describe and critique Cypress test code.
Which AI apps does this work with?
It supports Cursor, Claude, GitHub Copilot, and any AI tool that accepts custom instructions.
Do I need an API key or account to use this?
No special API key is needed, but connecting Cypress Cloud MCP may require OAuth or a Personal Access Token.
How hard is it to set up?
Setup involves copying a config snippet or installing via npx, so it’s a copy-paste-config level.
Does it work inside the app I already have?
If your AI tool supports plugins or custom skills (like Cursor or Claude), you can add it to your existing setup.
Can I use this without Cypress knowledge?
You should know Cypress basics since it enhances AI’s Cypress-specific abilities, not teach Cypress from scratch.