QA Copilot AI
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GROQ_API_KEY | Yes | Your Groq API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| pingA | Check QA Copilot MCP server health |
| analyze_failureC | Analyze test failure using AI |
| analyze_reportB | Analyze automation test report and extract failure details |
| suggest_fixB | Suggest AI fixes for Playwright and automation failures. |
| classify_failureC | Classify Playwright and automation failures using AI. |
| detect_flaky_testsB | Detect flaky Playwright tests using AI. |
| generate_test_casesC | Generate professional manual test cases using AI. |
| generate_playwright_scriptB | Generate Playwright TypeScript automation scripts using AI. |
| generate_api_testsC | Generate API test scenarios using AI. |
| summarize_bugB | Generate professional bug reports using AI. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
Most tools have distinct purposes: ping for health, analyze_failure and analyze_report both deal with failures but one is general and one is report-specific, classify_failure categorizes, suggest_fix provides fixes, detect_flaky_tests is unique, and generate_* tools are clearly separate. Minor overlap exists between analyze_failure and classify_failure, but descriptions reduce ambiguity.
All tool names follow a consistent snake_case verb_noun pattern (e.g., analyze_failure, generate_test_cases, summarize_bug). Even ping is a verb, and the absence of object is acceptable for a health check. No mixing of styles or vague verbs.
With 10 tools, the server is well-scoped for an AI QA assistant. Each tool addresses a specific need—health check, failure analysis, report parsing, fix suggestion, classification, flaky detection, and three generation tools plus bug summarization—without unnecessary redundancy.
The domain of QA assistance is well-covered: generating test cases, scripts, and API tests; analyzing and classifying failures; suggesting fixes; detecting flaky tests; and summarizing bugs. A minor gap is lack of explicit test maintenance or planning tools, but the core lifecycle of creating and debugging tests is solid.