QA-MCP: Test Standardization & Orchestration Server

Instructions

Implementation Reference

• src/qa_mcp/tools/generate.py:21-117 (handler)

  Core handler function implementing the testcase.generate tool logic. Generates positive test cases from acceptance criteria, optionally negative scenarios and boundary suggestions, using helper functions.
  def generate_testcase( feature: str, acceptance_criteria: list[str], module: str | None = None, risk_level: str = "medium", include_negative: bool = True, include_boundary: bool = True, test_type: str = "Manual", author: str | None = None, ) -> dict: """ Generate standardized test cases from feature description. Args: feature: Feature description acceptance_criteria: List of acceptance criteria module: Module/component name risk_level: Risk level (low, medium, high, critical) include_negative: Whether to include negative scenarios include_boundary: Whether to include boundary test suggestions test_type: Type of test (Manual, Automated, Generic) author: Test case author Returns: Dictionary containing: - testcases: List of generated test cases - suggestions: Additional suggestions - coverage_summary: What scenarios are covered """ testcases = [] suggestions = [] coverage = { "positive_scenarios": 0, "negative_scenarios": 0, "boundary_tests": 0, "acceptance_criteria_covered": [], } # Map risk level risk = RiskLevel(risk_level.lower()) # Determine priority based on risk priority_map = { RiskLevel.CRITICAL: Priority.P0, RiskLevel.HIGH: Priority.P1, RiskLevel.MEDIUM: Priority.P2, RiskLevel.LOW: Priority.P3, } priority = priority_map.get(risk, Priority.P2) # Generate positive test cases for each acceptance criterion for idx, criterion in enumerate(acceptance_criteria, 1): tc = _generate_positive_testcase( feature=feature, criterion=criterion, criterion_number=idx, module=module, risk=risk, priority=priority, test_type=test_type, author=author, ) testcases.append(tc) coverage["positive_scenarios"] += 1 coverage["acceptance_criteria_covered"].append(f"AC-{idx}") # Generate negative test cases if requested if include_negative: negative_cases = _generate_negative_testcases( feature=feature, acceptance_criteria=acceptance_criteria, module=module, risk=risk, author=author, ) testcases.extend(negative_cases) coverage["negative_scenarios"] = len(negative_cases) # Generate boundary test suggestions if include_boundary: boundary_suggestions = _generate_boundary_suggestions( feature=feature, acceptance_criteria=acceptance_criteria, ) if boundary_suggestions: suggestions.extend(boundary_suggestions) coverage["boundary_tests"] = len(boundary_suggestions) # Additional suggestions based on feature analysis suggestions.extend(_analyze_feature_suggestions(feature, acceptance_criteria)) return { "testcases": [tc.model_dump() for tc in testcases], "suggestions": suggestions, "coverage_summary": coverage, "total_generated": len(testcases), }
• src/qa_mcp/server.py:89-123 (registration)

  Registration of the testcase.generate tool in list_tools(), including name, description, and input schema.
  name="testcase.generate", description="Feature açıklaması ve acceptance criteria'dan standart test case üretir", inputSchema={ "type": "object", "properties": { "feature": { "type": "string", "description": "Feature açıklaması", }, "acceptance_criteria": { "type": "array", "items": {"type": "string"}, "description": "Kabul kriterleri listesi", }, "module": { "type": "string", "description": "Modül/bileşen adı (opsiyonel)", }, "risk_level": { "type": "string", "enum": ["low", "medium", "high", "critical"], "description": "Risk seviyesi (default: medium)", }, "include_negative": { "type": "boolean", "description": "Negatif senaryolar dahil mi (default: true)", }, "include_boundary": { "type": "boolean", "description": "Boundary test önerileri dahil mi (default: true)", }, }, "required": ["feature", "acceptance_criteria"], }, ),
• src/qa_mcp/server.py:312-321 (handler)

  Dispatcher in call_tool() that invokes the generate_testcase function with parsed arguments and handles audit logging.
  if name == "testcase.generate": result = generate_testcase( feature=arguments["feature"], acceptance_criteria=arguments["acceptance_criteria"], module=arguments.get("module"), risk_level=arguments.get("risk_level", "medium"), include_negative=arguments.get("include_negative", True), include_boundary=arguments.get("include_boundary", True), ) audit_log(name, arguments, f"Generated {result.get('total_generated', 0)} test cases")
• src/qa_mcp/server.py:91-122 (schema)

  Input schema definition for the testcase.generate tool, defining parameters, types, descriptions, and required fields.
  inputSchema={ "type": "object", "properties": { "feature": { "type": "string", "description": "Feature açıklaması", }, "acceptance_criteria": { "type": "array", "items": {"type": "string"}, "description": "Kabul kriterleri listesi", }, "module": { "type": "string", "description": "Modül/bileşen adı (opsiyonel)", }, "risk_level": { "type": "string", "enum": ["low", "medium", "high", "critical"], "description": "Risk seviyesi (default: medium)", }, "include_negative": { "type": "boolean", "description": "Negatif senaryolar dahil mi (default: true)", }, "include_boundary": { "type": "boolean", "description": "Boundary test önerileri dahil mi (default: true)", }, }, "required": ["feature", "acceptance_criteria"], },