Gemini MCP

Instructions

Implementation Reference

• src/tools/enhanced-tools.js:701-869 (handler)

  The main handler function implementing the tool's logic: multi-layered AI analysis including architecture, code quality, security, optional business impact, performance prediction, and metrics storage.
  handler: async (args) => { const { target, analysis_type = 'comprehensive', include_business_impact = true, performance_prediction = true, generate_metrics = true } = args; validateString(target, 'target'); const timer = performanceMonitor.startTimer('analyze_intelligence'); // Multi-layered analysis const analysisPrompt = `Perform ${analysis_type} intelligence analysis: Target: ${target} Provide comprehensive analysis covering: 1. **Architecture Assessment** - Design patterns and principles - Structural quality and organization - Scalability considerations - Technology stack evaluation 2. **Code Quality Analysis** - Maintainability index - Complexity metrics - Technical debt assessment - Best practices compliance 3. **Security Posture** - Vulnerability assessment - Security pattern usage - Risk exposure areas - Compliance readiness ${performance_prediction ? `4. **Performance Intelligence** - Performance bottleneck prediction - Scalability limits - Resource utilization patterns - Optimization opportunities` : ''} ${generate_metrics ? `5. **Quality Metrics** - Quantitative quality scores - Trend analysis - Benchmark comparisons - Improvement vectors` : ''} Be specific with actionable insights and recommendations.`; const coreAnalysis = await aiClient.call(analysisPrompt, 'analysis', { complexity: 'complex', maxTokens: 4000 }); let result = `📊 **Intelligence Analysis** (${analysis_type}) ${coreAnalysis}`; // Business impact analysis if (include_business_impact) { const businessPrompt = `Analyze business impact for this technical assessment: ${coreAnalysis} Provide: 1. **Financial Impact** - Development cost implications - Maintenance cost projections - Risk mitigation costs - ROI of improvements 2. **Operational Impact** - Performance implications - Reliability considerations - Scalability requirements - Support overhead 3. **Strategic Considerations** - Technology advancement alignment - Competitive positioning - Future-proofing assessment - Innovation opportunities 4. **Executive Summary** - Key business risks - Investment priorities - Timeline recommendations - Success metrics Quantify impacts where possible with dollar estimates and timelines.`; const businessAnalysis = await aiClient.call(businessPrompt, 'analysis'); result += ` --- 💼 **Business Impact Analysis** ${businessAnalysis}`; } // Performance prediction if (performance_prediction) { const performancePrompt = `Create performance prediction model based on analysis: ${coreAnalysis} Predict: 1. **Performance Bottlenecks** - Current performance issues - Future scalability limits - Resource constraints 2. **Load Scenarios** - Expected performance under load - Breaking points - Degradation patterns 3. **Optimization Impact** - Potential improvements - Implementation effort vs gain - Performance ROI 4. **Monitoring Strategy** - Key performance indicators - Early warning signals - Optimization triggers Provide specific metrics and thresholds.`; const performancePrediction = await aiClient.call(performancePrompt, 'analysis'); result += ` --- 🚀 **Performance Prediction Model** ${performancePrediction}`; } // Save analysis to storage for trend tracking if (generate_metrics) { const analysisData = { id: Date.now().toString(), target, analysis_type, timestamp: new Date().toISOString(), analysis: coreAnalysis, business_impact: include_business_impact, performance_prediction: performance_prediction }; const storageData = await storage.read('analyses'); if (!storageData.analyses) storageData.analyses = []; storageData.analyses.push(analysisData); // Keep only last 100 analyses if (storageData.analyses.length > 100) { storageData.analyses = storageData.analyses.slice(-100); } await storage.write('analyses', storageData); result += ` **Analysis ID**: ${analysisData.id} (saved for trend tracking)`; } timer.end(); return result; }
• src/tools/enhanced-tools.js:694-700 (schema)

  Input parameters schema defining the tool's expected arguments and their types/descriptions.
  parameters: { target: { type: 'string', description: 'Code/project to analyze', required: true }, analysis_type: { type: 'string', description: 'Analysis type', default: 'comprehensive' }, include_business_impact: { type: 'boolean', description: 'Include business impact analysis', default: true }, performance_prediction: { type: 'boolean', description: 'Enable performance prediction', default: true }, generate_metrics: { type: 'boolean', description: 'Generate quality metrics', default: true } },
• src/tools/enhanced-tools.js:692-870 (registration)

  The tool registration entry in the enhanced-tools object, including name, description, schema, and handler reference.
  'mcp__gemini__analyze_intelligence': { description: 'Deep code analysis with performance prediction, business impact assessment, and trend analysis', parameters: { target: { type: 'string', description: 'Code/project to analyze', required: true }, analysis_type: { type: 'string', description: 'Analysis type', default: 'comprehensive' }, include_business_impact: { type: 'boolean', description: 'Include business impact analysis', default: true }, performance_prediction: { type: 'boolean', description: 'Enable performance prediction', default: true }, generate_metrics: { type: 'boolean', description: 'Generate quality metrics', default: true } }, handler: async (args) => { const { target, analysis_type = 'comprehensive', include_business_impact = true, performance_prediction = true, generate_metrics = true } = args; validateString(target, 'target'); const timer = performanceMonitor.startTimer('analyze_intelligence'); // Multi-layered analysis const analysisPrompt = `Perform ${analysis_type} intelligence analysis: Target: ${target} Provide comprehensive analysis covering: 1. **Architecture Assessment** - Design patterns and principles - Structural quality and organization - Scalability considerations - Technology stack evaluation 2. **Code Quality Analysis** - Maintainability index - Complexity metrics - Technical debt assessment - Best practices compliance 3. **Security Posture** - Vulnerability assessment - Security pattern usage - Risk exposure areas - Compliance readiness ${performance_prediction ? `4. **Performance Intelligence** - Performance bottleneck prediction - Scalability limits - Resource utilization patterns - Optimization opportunities` : ''} ${generate_metrics ? `5. **Quality Metrics** - Quantitative quality scores - Trend analysis - Benchmark comparisons - Improvement vectors` : ''} Be specific with actionable insights and recommendations.`; const coreAnalysis = await aiClient.call(analysisPrompt, 'analysis', { complexity: 'complex', maxTokens: 4000 }); let result = `📊 **Intelligence Analysis** (${analysis_type}) ${coreAnalysis}`; // Business impact analysis if (include_business_impact) { const businessPrompt = `Analyze business impact for this technical assessment: ${coreAnalysis} Provide: 1. **Financial Impact** - Development cost implications - Maintenance cost projections - Risk mitigation costs - ROI of improvements 2. **Operational Impact** - Performance implications - Reliability considerations - Scalability requirements - Support overhead 3. **Strategic Considerations** - Technology advancement alignment - Competitive positioning - Future-proofing assessment - Innovation opportunities 4. **Executive Summary** - Key business risks - Investment priorities - Timeline recommendations - Success metrics Quantify impacts where possible with dollar estimates and timelines.`; const businessAnalysis = await aiClient.call(businessPrompt, 'analysis'); result += ` --- 💼 **Business Impact Analysis** ${businessAnalysis}`; } // Performance prediction if (performance_prediction) { const performancePrompt = `Create performance prediction model based on analysis: ${coreAnalysis} Predict: 1. **Performance Bottlenecks** - Current performance issues - Future scalability limits - Resource constraints 2. **Load Scenarios** - Expected performance under load - Breaking points - Degradation patterns 3. **Optimization Impact** - Potential improvements - Implementation effort vs gain - Performance ROI 4. **Monitoring Strategy** - Key performance indicators - Early warning signals - Optimization triggers Provide specific metrics and thresholds.`; const performancePrediction = await aiClient.call(performancePrompt, 'analysis'); result += ` --- 🚀 **Performance Prediction Model** ${performancePrediction}`; } // Save analysis to storage for trend tracking if (generate_metrics) { const analysisData = { id: Date.now().toString(), target, analysis_type, timestamp: new Date().toISOString(), analysis: coreAnalysis, business_impact: include_business_impact, performance_prediction: performance_prediction }; const storageData = await storage.read('analyses'); if (!storageData.analyses) storageData.analyses = []; storageData.analyses.push(analysisData); // Keep only last 100 analyses if (storageData.analyses.length > 100) { storageData.analyses = storageData.analyses.slice(-100); } await storage.write('analyses', storageData); result += ` **Analysis ID**: ${analysisData.id} (saved for trend tracking)`; } timer.end(); return result; } },