Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-cypress-mcp-cypress-cloud-cypress-io": {
"args": [
"-y",
"skills"
],
"command": "npx"
}
}
}Are you the author?
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Open-source Cypress AI skills, built by the Cypress team. Works with Claude, Cursor, GitHub Copilot, and more.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'skills' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked skills against OSV.dev.
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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.
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.
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 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:
cypress-author — Improves how AI tools create, update, and fix Cypress tests. Use it when you're writing new tests or fixing broken ones.cypress-explain — Helps you understand, describe, and critique existing tests. Use it when auditing a suite, onboarding a new team member, or investigating a brittle test before rewriting it.cypress-docs - Helps your agent research and retrieve information about Cypress more efficiently and reliably.Skills work with any AI tool that accepts custom instructions, including Claude, Cursor, and GitHub Copilot.
See the skills documentation for installation instructions, example prompts, and troubleshooting.
We're building toward a broader toolkit.
The community will help shape what gets prioritized. If you're already unlocking AI-powered Cypress workflows, we want to hear how. Open an issue or open a PR.
The Cypress AI toolkit is published as a plugin for installation into your agent. This is the easiest way to install and configure the various capabilities in this package and also enables an auto-update capability.
_Note: Our listing in the Cursor official plugin marketplace is currently pending. This README will be updated once it is available. Until then, this repository can be cloned and installed as a local plugin i