mcp-ai-agent-guidelines
Version:
A comprehensive Model Context Protocol server providing professional tools, resources, and prompts for implementing AI agent best practices
54 lines • 1.84 kB
TypeScript
/**
* Bridge Connector for Project Onboarding
*
* Provides integration points between project onboarding and other tools
* Enables onboarding data to enhance all other tools with project context
*/
/**
* Integration helpers for project onboarding with other tools
*/
/**
* Extract project context from onboarding results
*/
export declare function extractProjectContext(onboardingResult: string): {
name: string;
type: string;
languages: string[];
frameworks: string[];
buildSystem: string;
testFramework: string;
structure: {
directories: string[];
keyFiles: string[];
entryPoints: string[];
};
};
/**
* Enhance any tool with project context
*/
export declare function enhanceToolWithProjectContext(toolInput: unknown, projectContext: ReturnType<typeof extractProjectContext>): unknown;
/**
* Generate hierarchical prompt with project context
*/
export declare function generateContextualPrompt(projectContext: ReturnType<typeof extractProjectContext>, taskDescription: string): string;
/**
* Generate code hygiene analysis with project-specific rules
*/
export declare function generateProjectSpecificHygieneRules(projectContext: ReturnType<typeof extractProjectContext>): string[];
/**
* Generate strategy analysis with project context
*/
export declare function generateStrategyWithProjectContext(projectContext: ReturnType<typeof extractProjectContext>): {
swot: {
strengths: string[];
weaknesses: string[];
opportunities: string[];
threats: string[];
};
recommendations: string[];
};
/**
* Create mode-specific project guidance
*/
export declare function generateModeGuidance(projectContext: ReturnType<typeof extractProjectContext>, mode: string): string;
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