qa-ai-mcp-server-gits
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | debug, info, warn, error | |
| GITHUB_REPO | No | Target repository. Required for live bug creation. | |
| GITHUB_OWNER | No | GitHub org or username. Required for live bug creation. | |
| GITHUB_TOKEN | No | GitHub PAT with repo scope. Required for live bug creation. | |
| PLAYWRIGHT_HEADLESS | No | Default headless mode for locator discovery | |
| ALLOW_PRODUCTION_URLS | No | Set 'true' to allow production-like URLs | |
| GITHUB_DEFAULT_LABELS | No | Comma-separated labels (default: bug,automated-test,qa) | bug,automated-test,qa |
| PLAYWRIGHT_TIMEOUT_MS | No | Default Playwright timeout |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_test_scenariosC | Generate comprehensive test scenarios from user stories and acceptance criteria |
| generate_test_casesC | Convert generated scenarios into detailed manual/automation-ready test cases |
| discover_stable_locatorsC | Open the application in Playwright and discover stable locators using accessibility-first priority |
| generate_playwright_testC | Generate a Playwright TypeScript framework with Page Object Model, data files, and utilities |
| run_playwright_testC | Execute Playwright tests and capture results, screenshots, traces, and videos |
| create_bugA | Create a bug ticket from a failed test — supports GitHub Issues, Jira, and Azure DevOps (dry-run or live) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| qa_automation_workflow | Generate a complete prompt to run all qa-ai-mcp-server-gits tools: scenarios → cases → locators → Playwright codegen → test run → bug |
| qa_automation_workflow_example | Pre-filled workflow prompt for Applitools demo login (UserLogin feature) |
| qa_automation_workflow_short | Compact workflow prompt for quick MCP tool chaining |
| qa_automation_instructions | Setup and usage instructions for public npm users |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/gits5213/qa-ai-mcp-server-gits'
If you have feedback or need assistance with the MCP directory API, please join our Discord server