cypress-cloud
MCP serverDev toolscypress-cloud gives your AI direct access to your Cypress test results and accessibility reports. Once it is added, your AI can read test outcomes and accessibility findings, so you can ask about them and get answers without digging through reports yourself.
Use cypress-cloud in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add cypress-cloud and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use cypress-cloud
Needs your own cypress-cloud account. You sign in to it and approve access when you connect.
Details
Available today. Use it from your connected AI after setup.
Add cypress-cloud, then ask your AI to pull up your latest Cypress test results or accessibility reports.
What your AI can do with it
- Review Cypress test results in the conversation
- Summarize which tests passed and which failed
- Read accessibility reports and list the issues they flag
- Answer questions about your test outcomes
Install cypress-cloud
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user cypress-cloud 'https://mcp.cypress.io/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.cypress.io/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=cypress-cloud&config=eyJ1cmwiOiJodHRwczovL21jcC5jeXByZXNzLmlvL21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.cypress.io/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add cypress-cloud --url 'https://mcp.cypress.io/mcp'Run it once, then sign in with codex mcp login cypress-cloud if the server asks for an account.
From the project's README
As published by cypress-io/ai-toolkit in README.md. This repository publishes several servers, so only the opening is shown here.
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.
Shortened here. Read the whole README on GitHub.
Signals
- GitHub stars
- 45
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Delivery
- cypress-cloud MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-cypress-mcp-cypress-cloud- Source
- github.com/cypress-io/ai-toolkit
- Hosted endpoint
https://mcp.cypress.io/mcp
github.com/cypress-io/ai-toolkit