cypress-mcp-server
Integrates with Cypress testing framework, enabling AI-powered test automation, debugging, and script generation. Provides tools to run tests, generate tests from descriptions, validate test files, retrieve results, screenshots, and videos.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cypress-mcp-serverRun all Cypress tests in headless mode"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cypress MCP Server
A Model Context Protocol (MCP) server implementation that integrates Cypress with Cursor AI, enabling AI-powered test automation, debugging, and script generation.
๐ Features
Full Cypress Integration: Supports all major Cypress commands and features
MCP Standard Compliant: Follows the official Model Context Protocol specification
Cursor AI Compatible: Seamlessly integrates with Cursor's AI assistant
Comprehensive Tool Set:
Run tests in headless or headed mode
Validate test files and code
Generate tests from descriptions
Retrieve test results, screenshots, and videos
Execute Cypress commands programmatically
Security: Configurable command allowlist and execution time limits
Logging: Comprehensive logging with Winston
Flexible Configuration: YAML-based configuration with environment variable support
Related MCP server: AI Customer Support Bot - MCP Server
๐ Prerequisites
Node.js 18.0.0 or higher
npm or yarn package manager
Cypress project (existing or new)
๐ง Installation
Option 1: Install from npm (when published)
npm install -g cypress-mcp-serverOption 2: Install from source
git clone https://github.com/yourusername/cypress-mcp-server.git
cd cypress-mcp-server
npm install
npm link # Optional: link globally for CLI accessโ๏ธ Configuration
1. Create Configuration File
Copy the example configuration file:
cp cypress-mcp.config.yaml.example cypress-mcp.config.yaml2. Configure Cursor
Add the MCP server to Cursor's configuration. Open Cursor settings and add:
On macOS/Linux: ~/.cursor/mcp.json
On Windows: %APPDATA%\Cursor\mcp.json
{
"mcpServers": {
"cypress": {
"command": "node",
"args": ["/path/to/cypress-mcp-server/src/index.js"],
"env": {
"CYPRESS_MCP_CONFIG": "/path/to/cypress-mcp.config.yaml"
}
}
}
}Or if installed globally:
{
"mcpServers": {
"cypress": {
"command": "cypress-mcp-server"
}
}
}3. Customize Configuration
Edit cypress-mcp.config.yaml:
cypress:
projectPath: /path/to/your/cypress/project
browser: chrome
headless: true
baseUrl: http://localhost:3000
viewportWidth: 1280
viewportHeight: 720
defaultCommandTimeout: 4000
requestTimeout: 5000
responseTimeout: 30000
mcp:
name: cypress-mcp-server
version: 1.0.0
security:
allowedCommands:
- '*'
maxExecutionTime: 300000๐ฏ Usage
Once configured, you can use natural language prompts in Cursor to interact with Cypress:
Running Tests
Run all Cypress tests in headless modeRun the test file cypress/e2e/login.cy.js using FirefoxRun Cypress tests with baseUrl set to http://localhost:8080Generating Tests
Generate a Cypress test that validates user login. The test should visit the login page, enter credentials, click login, and verify redirect to dashboard. Save it to cypress/e2e/login.cy.jsValidating Tests
Validate the Cypress test file cypress/e2e/checkout.cy.js for syntax errorsGetting Results
Show me the results from the last Cypress test runGet all screenshots from failed tests๐ Available Tools
The MCP server exposes the following tools:
cypress_run
Run Cypress tests with specified options.
Parameters:
spec(string, optional): Specific test file or glob patternbrowser(string, optional): Browser to use (chrome, firefox, edge, electron)headless(boolean, optional): Run in headless modebaseUrl(string, optional): Base URL for the applicationenv(object, optional): Environment variablesconfig(object, optional): Additional Cypress configuration
cypress_open
Open Cypress Test Runner in headed mode for interactive debugging.
Parameters:
browser(string, optional): Browser to openproject(string, optional): Path to Cypress project
cypress_validate
Validate a Cypress test file or test code.
Parameters:
testFile(string, optional): Path to test filetestCode(string, optional): Test code to validate
cypress_generate
Generate a Cypress test file from a description.
Parameters:
description(string, required): Description of the testtestName(string, optional): Name for the testoutputPath(string, optional): Path to save the generated test
cypress_get_results
Get test results from previous runs.
Parameters:
runId(string, optional): Specific run ID, or omit for all results
cypress_get_screenshots
Get screenshots captured during test runs.
Parameters:
runId(string, optional): Filter by run IDtestPath(string, optional): Filter by test path
cypress_get_videos
Get videos recorded during test runs.
Parameters:
runId(string, optional): Filter by run ID
cypress_execute_command
Execute a Cypress command directly (placeholder for advanced use cases).
๐ Examples
See the examples/ directory for:
Example Cypress test files
Sample Cursor prompts
Configuration examples
๐งช Testing
Run the test suite:
npm testRun tests with coverage:
npm run test:coverage๐ Security
The MCP server includes several security features:
Command Allowlist: Configure which Cypress commands are allowed
Execution Time Limits: Prevent long-running tests from blocking
Input Validation: All inputs are validated before execution
Error Handling: Comprehensive error handling prevents crashes
๐ Logging
Logs are written to:
Console (development mode)
logs/error.log(errors only)logs/combined.log(all logs)
Set the log level with the LOG_LEVEL environment variable:
LOG_LEVEL=debug node src/index.js๐ Troubleshooting
Server won't start
Check Node.js version:
node --version(should be 18+)Verify dependencies:
npm installCheck configuration file syntax
Review logs in
logs/directory
Tests not running
Verify Cypress is installed:
npx cypress verifyCheck project path in configuration
Ensure baseUrl is accessible
Check browser permissions
Cursor not connecting
Verify MCP configuration in Cursor settings
Check file paths are absolute
Restart Cursor after configuration changes
Check console for connection errors
Browser issues
Ensure Chrome/Firefox is installed
Check browser permissions
Try running Cypress manually:
npx cypress openReview Cypress documentation for browser setup
๐ค Contributing
Contributions are welcome! Please:
Fork the repository
Create a feature branch
Make your changes
Add tests
Submit a pull request
๐ License
MIT License - see LICENSE file for details
๐ Links
๐ Acknowledgments
Anthropic for the Model Context Protocol specification
The Cypress team for an amazing testing framework
Cursor for AI-powered development tools
๐ง Support
For issues, questions, or contributions:
Open an issue on GitHub
Check existing documentation
Review example files
Note: This is a community project and is not officially affiliated with Cypress, Cursor, or Anthropic.
Available Tools
8 toolscypress_execute_commandC
Execute a Cypress command with chaining support. This is a lower-level tool for executing specific Cypress commands.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | Cypress command to execute (e.g., "visit", "get", "click", "type") | |
| args | No | Arguments for the command | |
| selector | No | CSS selector or text to find element | |
| options | No | Additional options for the command |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only mentions 'chaining support' and 'lower-level', but fails to disclose side effects, permissions, error behavior, or any behavioral traits beyond basic execution.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise at two sentences, front-loading the main action. Every sentence serves a purpose, though additional context would be welcome. No structural issues.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 parameters, chaining support, no output schema), the description is too brief. It does not explain how chaining works, how to use the parameters effectively, or what the command execution returns, making it incomplete for safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage for all 4 parameters, so the baseline is 3. The description adds no additional meaning beyond what the schema provides, e.g., it does not explain how 'args', 'selector', or 'options' interact with chaining.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states it executes a Cypress command with chaining support, which is a specific verb+resource. However, it does not distinguish from sibling tools like cypress_run, which might also execute commands but at a higher level.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description merely calls it a 'lower-level tool' but gives no explicit guidance on when to use it versus alternatives such as cypress_run or cypress_generate. No when-not or alternative tools are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_generateC
Generate a Cypress test file from a description
| Name | Required | Description | Default |
|---|---|---|---|
| description | Yes | Description of what the test should do | |
| testName | No | Name for the test | |
| outputPath | No | Path where the generated test file should be saved |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description is too brief (7 words) to disclose behavioral traits like side effects (e.g., file overwrite), authorization needs, or return behavior. For a generation tool, critical details are missing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise (one sentence) but fails to provide necessary context. Efficiency is not valuable if the content is insufficient for correct use.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and sibling tools, the description is woefully incomplete. Does not explain return values, error handling, or integration with other Cypress tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for all parameters. However, the description adds no additional meaning beyond the schema; it merely repeats the action. Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool generates a Cypress test file from a description. It distinguishes from sibling tools that execute, get results, etc., but could be more specific about the input format (e.g., natural language to code).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Missing context such as whether a project must be open, required dependencies, or exclusions (e.g., not for existing files).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_get_resultsA
Get test results from a previous Cypress run by run ID, or all results if no ID provided
| Name | Required | Description | Default |
|---|---|---|---|
| runId | No | Run ID to get results for (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must fully disclose behavior. It only says 'get test results' without detailing what 'results' entail (e.g., pass/fail status, logs) or any side effects. The return format is not described, which is a significant gap for a tool with no output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one sentence, front-loaded, and contains no redundant information. Every word contributes to understanding the tool's core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (1 optional param, no output schema), the description gives a basic understanding. However, it lacks details on what constitutes 'results,' error handling, and return format. A more complete description would include brief output clarification.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning beyond the schema by clarifying behavior when runId is omitted ('or all results if no ID provided'). The schema already covers the single parameter, so the description provides useful context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb (get), resource (test results from a previous Cypress run), and scope (by run ID or all if no ID). It distinguishes from sibling tools like cypress_get_screenshots which target different resources.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It implies usage context: retrieving results from a previous run, optionally filtering by run ID. However, it does not explicitly mention when not to use this tool or suggest alternatives like cypress_get_screenshots for other data.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_get_screenshotsC
Get screenshots captured during test runs
| Name | Required | Description | Default |
|---|---|---|---|
| runId | No | Run ID to filter screenshots (optional) | |
| testPath | No | Test path to filter screenshots (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Minimal behavioral disclosure. Does not mention whether filters are exclusive or additive, what happens with no filters, or any side effects. Since no annotations exist, the description should provide more context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, front-loaded with key action. Very concise, but could include more detail without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Lacks important context such as behavior when no filters are provided, return format, error handling, or any prerequisites. Incomplete for an AI agent to select and invoke confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so both parameters are already documented. The description adds no additional meaning beyond the schema, meeting baseline expectations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves screenshots from test runs. However, it does not differentiate from sibling tools like cypress_get_videos, which follow the same pattern.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance provided on when to use this tool over alternatives. No context on prerequisites or recommended scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_get_videosC
Get videos recorded during test runs
| Name | Required | Description | Default |
|---|---|---|---|
| runId | No | Run ID to filter videos (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description fully carries the transparency burden. It only states 'Get videos' without mentioning read-only nature, output format, or limits. Insufficient disclosure for a resource-fetching tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single-sentence description is concise and to the point. No structural issues, though additional detail could be added without breaking conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one optional parameter, the description is adequate but incomplete. It omits output details (no output schema), leaving the agent unsure about the return format.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with the parameter 'runId' fully described. The description adds no additional meaning, so baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'Get videos' and the resource 'recorded during test runs'. It is specific but does not differentiate from sibling tools like cypress_get_screenshots or cypress_get_results.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance provided on when to use this tool versus alternatives. With siblings like cypress_get_screenshots, explicit context is missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_openB
Open Cypress Test Runner in headed mode for interactive debugging
| Name | Required | Description | Default |
|---|---|---|---|
| browser | No | Browser to open | |
| project | No | Path to Cypress project |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool opens the Test Runner in headed mode, but does not explain side effects (e.g., whether it blocks, starts a server), authentication needs, or required project state. With no annotations, this leaves significant behavioral gaps for safe agent invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no waste. Every word serves to communicate the core purpose and mode concisely.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and no annotations, yet the description does not mention return behavior (e.g., process handle, success indication) or whether it blocks execution. This is insufficient for an agent to understand the interaction lifecycle.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the description adds no additional meaning beyond the inline schema descriptions ('Browser to open', 'Path to Cypress project'). Baseline 3 is appropriate as the schema already documents both parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Open'), resource ('Cypress Test Runner'), and mode ('headed mode for interactive debugging'). It effectively differentiates from sibling tools like cypress_run (runs tests) and cypress_execute_command (executes commands).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for interactive debugging by stating 'headed mode', but lacks explicit guidance on when to use this tool versus alternatives such as cypress_run or cypress_execute_command. No prerequisites or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_runB
Run Cypress tests with specified options. Returns test results including pass/fail counts, duration, and run ID.
| Name | Required | Description | Default |
|---|---|---|---|
| spec | No | Specific test file or glob pattern to run (e.g., "cypress/e2e/login.cy.js") | |
| browser | No | Browser to run tests in | |
| headless | No | Run in headless mode (default: true) | |
| baseUrl | No | Base URL for the application under test | |
| env | No | Environment variables to pass to Cypress | |
| config | No | Additional Cypress configuration options |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behaviors but only mentions it runs tests and returns results. Missing side effects like generating artifacts, duration, or environmental requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, 14 words, entirely front-loaded with the action. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite 6 parameters and no output schema, the description is minimal. It mentions return fields but lacks detail on structure or behavior. Incomplete for a complex tool like Cypress test runner.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with parameter descriptions. The description adds no extra meaning beyond 'with specified options'. Baseline 3 applies as schema already documents parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Run', the resource 'Cypress tests', and the outcome 'returns test results including pass/fail counts, duration, and run ID'. It distinguishes from sibling tools like cypress_execute_command which likely executes individual commands.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives, no prerequisites or context provided. Given multiple sibling tools, explicit usage guidelines would help an agent decide.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cypress_validateB
Validate a Cypress test file or test code for syntax and best practices
| Name | Required | Description | Default |
|---|---|---|---|
| testFile | Yes | Path to test file to validate | |
| testCode | No | Test code to validate (alternative to testFile) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description must provide behavioral context. It only states validation of syntax and best practices, without detailing failure behavior, read-only nature, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with no unnecessary words. Front-loaded and efficient, though may be too minimal for full clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema and no annotations. The description omits what validation returns (errors, success status), leaving the agent without crucial information for a validation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds little beyond schema; it mentions testCode as alternative to testFile, but this is already implied by schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool validates Cypress test files or code for syntax and best practices. The verb 'validate' and resource are specific, and it distinguishes from sibling tools like cypress_run or cypress_generate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool vs alternatives. Sibling tools are different, but the description does not mention scenarios or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
8 tool updates
v1.0.0- First observed
cypress_execute_command - First observed
cypress_generate - First observed
cypress_get_results - First observed
cypress_get_screenshots - First observed
cypress_get_videos - First observed
cypress_open - First observed
cypress_run - First observed
cypress_validate
TDQS
Each tool has a distinct purpose: running, generating, validating, retrieving results/screenshots/videos, and opening the runner. No two tools overlap in function; the boundaries are clear.
All tools follow a consistent 'cypress_verb_noun' pattern in snake_case, making them predictable and easy to differentiate.
With 8 tools, the set covers core Cypress workflows (generate, run, validate, retrieve artifacts) without being overly large or sparse.
The set covers the major stages of Cypress testing: generation, validation, execution, and artifact retrieval. Missing a tool to explicitly list or delete tests, but the core lifecycle is well-supported.
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