cypress-mcp
MCP server that gives AI coding agents full control over Cypress test execution, allowing them to run, debug, and iterate on E2E tests directly from MCP-compatible agents.
README
cypress-mcp
MCP server that gives AI coding agents full control over Cypress test execution.
Run, debug, and iterate on E2E tests directly from Claude Code, Cursor, Windsurf, or any MCP-compatible agent — without switching to a terminal.
Install
| Package Manager | Command |
|---|---|
| npx (no install) | npx cypress-mcp --cwd /path/to/project |
| npm | npm install -g cypress-mcp |
| pnpm | pnpm add -g cypress-mcp |
| yarn | yarn global add cypress-mcp |
| bun | bun add -g cypress-mcp |
| From GitHub | npx github:jams4code/cypress-mcp |
Quick Start
Register with your MCP client:
Claude Code:
claude mcp add cypress-mcp -- npx cypress-mcp --cwd /path/to/project
Cursor / VS Code:
{
"mcpServers": {
"cypress": {
"command": "npx",
"args": ["cypress-mcp", "--cwd", "/path/to/your/project"]
}
}
}
Windsurf:
{
"mcpServers": {
"cypress": {
"command": "npx",
"args": ["cypress-mcp", "--cwd", "/path/to/your/project"]
}
}
}
Why
AI agents can write Cypress tests but can't run them. Every change requires you to switch to terminal, run npx cypress run, wait, copy the output back. This kills iteration speed.
cypress-mcp closes the loop. The agent runs specs, reads failures, views screenshots, inspects crash context, reruns the last command, and discovers the test suite — all within the conversation.
Tools (11)
Core Loop
| Tool | What it does |
|---|---|
cypress_run_spec |
Run a spec file headless, get structured JSON results |
cypress_run_test |
Run a single test by name (grep filter) |
cypress_rerun_last |
Replay the exact last run without rebuilding arguments |
cypress_list_specs |
List all spec files with test counts |
Debug
| Tool | What it does |
|---|---|
cypress_get_failure_context |
Compact debugging bundle: error, stack, spec excerpt, screenshots, next actions |
cypress_get_screenshot |
Find failure screenshots by spec or test name |
cypress_get_last_run |
Full results of the most recent run |
Discovery
| Tool | What it does |
|---|---|
cypress_discover |
Map the entire test suite: specs, test names, counts |
cypress_analyze_spec |
Deep-parse a spec: describe blocks, visits, intercepts, fixtures |
Setup
| Tool | What it does |
|---|---|
cypress_get_env |
Show cypress.env.json (secrets masked) |
cypress_doctor |
Health check: config, binary, specs, support file, directories |
How It Works
graph LR
A[AI Agent] -->|stdio JSON-RPC| B[cypress-mcp]
B -->|child_process.spawn| C[Cypress Runtime]
C -->|JSON reporter| B
B -->|structured result| A
style A fill:#1a1a2e,stroke:#e94560,color:#fff
style B fill:#16213e,stroke:#0f3460,color:#fff
style C fill:#0f3460,stroke:#533483,color:#fff
- stdio transport — the agent spawns the server as a child process
- Serial execution — one Cypress run at a time, no concurrency
- Structured output — JSON results with failure details, diffs, screenshot paths
- Config-aware — auto-detects
cypress.config.*, follows relative imports, respects custom paths - Cross-platform — Windows, macOS, Linux
Agent Workflow
graph TD
D[cypress_discover] -->|map test suite| E[cypress_analyze_spec]
E -->|understand spec| F[cypress_run_spec]
F -->|tests fail| G[cypress_get_failure_context]
G -->|error + excerpt + screenshots| H[Fix the code]
H -->|iterate| I[cypress_rerun_last]
I -->|still failing| G
I -->|passing| J[Done]
F -->|tests pass| J
style D fill:#1a1a2e,stroke:#e94560,color:#fff
style F fill:#16213e,stroke:#0f3460,color:#fff
style G fill:#e94560,stroke:#fff,color:#fff
style I fill:#0f3460,stroke:#533483,color:#fff
style J fill:#2d6a4f,stroke:#40916c,color:#fff
Configuration
Works out of the box for standard Cypress projects. For custom setups, create cypress-mcp.config.json:
{
"defaultBrowser": "chrome",
"defaultTimeout": 600000,
"cypressConfigFile": "config/cypress.config.ts",
"specPattern": ["e2e/**/*.cy.ts"],
"supportFile": "support/e2e.ts",
"titleFilterSupport": true,
"screenshotsDir": "cypress/screenshots"
}
Supported Versions
- Cypress 12.x — 15.x
- Node.js 18+
- Windows, macOS, Linux
Registry Status
| Registry | Package | Status |
|---|---|---|
| npm | cypress-mcp |
Published |
| GitHub | jams4code/cypress-mcp |
Source |
Development
git clone https://github.com/jams4code/cypress-mcp.git
cd cypress-mcp
npm install
npm run build
npm test
License
Business Source License 1.1 — free for individuals, education, and open source. Commercial production use requires a license. See LICENSING.md for details.
Converts to Apache 2.0 on March 25, 2029.
Licensed by JADEV GROUP SARL (BE1027.114.687), Brussels, Belgium.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.