mcp-adr-analysis-server
Version:
MCP server for analyzing Architectural Decision Records and project architecture
67 lines • 2.04 kB
TypeScript
/**
* AI prompts for rule generation and validation
* Following prompt-driven development approach
*/
/**
* Generate AI prompt for extracting actionable rules from ADRs
*
* @param adrFiles - Array of ADR files to analyze for rule extraction
* @param existingRules - Optional array of existing rules to avoid duplication
* @returns Formatted prompt for AI analysis of ADRs to extract validation rules
*/
export declare function generateRuleExtractionPrompt(adrFiles: Array<{
id: string;
title: string;
content: string;
status: string;
category?: string;
}>, existingRules?: Array<{
id: string;
name: string;
description: string;
}>): string;
/**
* AI prompt for generating rules from code patterns
*/
export declare function generatePatternBasedRulePrompt(projectStructure: string, codePatterns: Array<{
pattern: string;
frequency: number;
examples: string[];
category: string;
}>, existingRules?: string[]): string;
/**
* AI prompt for validating code against rules
*/
export declare function generateCodeValidationPrompt(codeToValidate: string, fileName: string, rules: Array<{
id: string;
name: string;
description: string;
pattern: string;
severity: string;
message: string;
}>, validationType?: 'file' | 'function' | 'component' | 'module'): string;
/**
* AI prompt for reporting rule deviations and compliance status
*/
export declare function generateRuleDeviationReportPrompt(validationResults: Array<{
fileName: string;
violations: Array<{
ruleId: string;
ruleName: string;
severity: string;
message: string;
location: any;
}>;
compliance: Array<{
ruleId: string;
ruleName: string;
status: string;
}>;
overallCompliance: number;
}>, rules: Array<{
id: string;
name: string;
category: string;
severity: string;
}>, reportType?: 'summary' | 'detailed' | 'trend' | 'compliance'): string;
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