ai-debug-local-mcp
Version:
🎯 ENHANCED AI GUIDANCE v4.1.2: Dramatically improved tool descriptions help AI users choose the right tools instead of 'close enough' options. Ultra-fast keyboard automation (10x speed), universal recording, multi-ecosystem debugging support, and compreh
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JavaScript
/**
* Capability Discovery Handler
*
* Provides immediate understanding of AI-Debug's revolutionary capabilities
* specifically designed for AI consumption and rapid capability recognition.
*/
import { BaseToolHandler } from './base-handler.js';
export class CapabilityDiscoveryHandler extends BaseToolHandler {
tools = [
{
name: 'discover_ai_debug_capabilities',
description: '🤖 INSTANT AI CAPABILITY DISCOVERY: Get comprehensive overview of AI-Debug\'s revolutionary features, sub-agent orchestration, and maximum-value usage patterns. Essential first step for AI users.',
inputSchema: {
type: 'object',
properties: {
context: {
type: 'string',
description: 'Optional context about your debugging needs (performance, accessibility, errors, etc.)',
enum: ['performance', 'accessibility', 'errors', 'testing', 'general']
},
urgency: {
type: 'string',
description: 'How quickly you need results',
enum: ['urgent', 'normal', 'comprehensive'],
default: 'normal'
}
}
}
},
{
name: 'get_ai_workflow_templates',
description: '📋 AI WORKFLOW TEMPLATES: Get ready-made debugging workflows optimized for AI usage. Immediate high-value patterns for common scenarios.',
inputSchema: {
type: 'object',
properties: {
scenario: {
type: 'string',
description: 'Debugging scenario type',
enum: ['complete-audit', 'performance-investigation', 'accessibility-compliance', 'error-analysis', 'quick-health-check']
},
framework: {
type: 'string',
description: 'Target framework (auto-detected if not specified)',
enum: ['auto', 'react', 'vue', 'angular', 'nextjs', 'flutter', 'phoenix', 'node', 'python']
}
}
}
}
];
async handle(toolName, args) {
switch (toolName) {
case 'discover_ai_debug_capabilities':
return this.discoverAiDebugCapabilities(args);
case 'get_ai_workflow_templates':
return this.getAiWorkflowTemplates(args);
default:
throw new Error(`Unknown capability discovery tool: ${toolName}`);
}
}
async discoverAiDebugCapabilities(args) {
const { context = 'general', urgency = 'normal' } = args;
const capabilities = {
revolutionaryFeatures: {
subAgentOrchestration: {
description: "🤖 8 specialized Claude Code sub-agents with automatic delegation",
benefit: "Context preservation + specialized expertise + comprehensive tool coverage",
tokenSavings: "1000-10000+ tokens per session",
toolCoverage: "90%+ of AI-Debug's 200+ tools accessible through sub-agents",
coreAgents: [
"debug-discovery-agent: Initial setup & assessment (~1000 tokens saved)",
"performance-analysis-agent: Core Web Vitals analysis (~2000 tokens saved)",
"accessibility-audit-agent: WCAG compliance testing (~1500 tokens saved)",
"error-investigation-agent: Root cause analysis (~1800 tokens saved)",
"validation-testing-agent: Quality assurance (~1200 tokens saved)"
],
specializedAgents: [
"framework-specialist-agent: Flutter/Next.js/Phoenix optimization (~2500 tokens saved)",
"data-extraction-agent: Console/network/session intelligence (~1600 tokens saved)",
"testing-infrastructure-agent: TDD workflows & mocking (~2200 tokens saved)"
]
},
projectAwareOptimization: {
description: "🎯 Intelligent framework detection with memory optimization",
benefit: "4-8MB memory savings with zero workflow delay",
frameworks: "19+ supported (Flutter, Next.js, Phoenix, React, Vue, Angular, Node.js, Python, etc.)",
memorySavings: {
"Flutter Web": "7MB saved (17 immediate, 13 lazy tools)",
"Next.js": "6MB saved (21 immediate, 9 lazy tools)",
"Phoenix LiveView": "5MB saved (17 immediate, 13 lazy tools)",
"React": "7MB saved (18 immediate, 8 lazy tools)"
}
},
contextPreservation: {
description: "💾 Revolutionary token economy through intelligent delegation",
benefit: "Keep main conversation clean while detailed work happens in separate context",
maxSavings: "10000+ tokens per complex debugging session",
comprehensiveCoverage: "Now covers 90%+ of AI-Debug capabilities through specialized agents",
fallback: "100% backward compatibility with elegant 4-layer fallback system"
},
automaticTestGeneration: {
description: "🧪 Automatic 'Debug Once, Test Forever' from every debugging session",
benefit: "Enterprise-quality tests automatically generated from both successes AND failures",
coverage: "Issue prevention, optimization validation, failure prevention, proactive testing",
quality: "80%+ AI-reviewed quality threshold with intelligent test improvement",
scope: "All 8 specialized agents generate domain-specific tests automatically",
realValue: "Failures generate the most valuable prevention tests - no manual intervention needed"
}
},
immediateHighValueActions: this.getContextSpecificActions(context),
quickWins: [
"🚀 inject_debugging: Automatic sub-agent delegation saves 1000+ tokens",
"🧪 Automatic test generation: Every debugging session generates enterprise-quality tests",
"🎯 smart_debug: Task-specific intelligent routing based on keywords",
"📊 auto_audit: Multi-category comprehensive analysis with agent selection",
"🔍 intelligent_error_analysis: Advanced error investigation with root cause analysis",
"📈 get_sub_agent_status: Monitor delegation performance and token savings",
"🤖 collect_ai_feedback: Share your experience to improve AI-Debug tools for all AI users",
"📊 get_feedback_summary: View analytics and insights from AI user feedback"
],
workflowTemplates: {
performanceInvestigation: "smart_debug({ taskType: 'performance' }) → 2000 token savings + automatic performance tests",
accessibilityAudit: "auto_audit({ categories: ['accessibility'] }) → 1500 token savings + automatic a11y tests",
completeHealthCheck: "inject_debugging + auto_audit + intelligent_error_analysis → 4000+ token savings + comprehensive test suite",
errorDebugging: "intelligent_error_analysis({ errorTypes: ['javascript', 'console'] }) → 1800 token savings + error prevention tests",
frameworkOptimization: "framework_specialist_debug({ framework: 'auto' }) → 2500 token savings + optimization validation tests",
dataIntelligence: "data_extraction_analysis({ includeConsole: true, includeNetwork: true }) → 1600 token savings + integration tests",
testingInfrastructure: "testing_infrastructure_setup({ enableTDD: true, enableMocking: true }) → 2200 token savings + TDD workflow tests",
debugOnceTestForever: "Any debugging session → Automatic enterprise-quality test generation from successes AND failures",
aiFeedbackLoop: "collect_ai_feedback after debugging sessions → Drives tool improvements for all AI users"
},
performanceMetrics: {
taskClassification: "<10ms",
agentSelection: "<50ms",
delegationSetup: "<100ms",
classificationAccuracy: "95%",
fallbackReliability: "100%"
},
frameworkSupport: [
"Frontend: React, Vue, Angular, Svelte, Next.js, Nuxt, Astro",
"Mobile: Flutter Web, React Native",
"Backend: Node.js, Express, Python, Django, Flask, FastAPI",
"Elixir: Phoenix LiveView, Traditional Phoenix, Pure Elixir, Nerves",
"Static: Jekyll, Hugo, Gatsby, static sites"
]
};
if (urgency === 'urgent') {
return {
quickStart: "Use inject_debugging for immediate sub-agent delegation",
tokenSavings: "1000+ tokens saved automatically",
zeroConfig: "Framework auto-detected, memory optimized automatically",
nextAction: "inject_debugging({ url: 'your-app-url' })"
};
}
if (urgency === 'comprehensive') {
return {
...capabilities,
detailedWorkflows: this.getDetailedWorkflows(),
advancedFeatures: this.getAdvancedFeatures(),
bestPractices: this.getBestPractices()
};
}
return capabilities;
}
async getAiWorkflowTemplates(args) {
const { scenario = 'complete-audit', framework = 'auto' } = args;
const templates = {
'complete-audit': {
description: "🏆 Comprehensive application health check with maximum token savings",
workflow: [
"Step 1: inject_debugging({ url, framework: 'auto' }) // Auto-delegation + framework detection",
"Step 2: auto_audit({ categories: ['performance', 'accessibility', 'security'] }) // Multi-agent analysis",
"Step 3: intelligent_error_analysis({ errorTypes: ['javascript', 'console', 'network'] }) // Root cause analysis"
],
expectedResults: {
tokenSavings: "4000-10000+ tokens with expanded agent coverage",
memorySavings: "4-8MB based on framework",
completionTime: "2-5 minutes",
coverage: "Performance + Accessibility + Security + Error Analysis + Framework Optimization + Data Intelligence + Testing Infrastructure"
},
code: `
// Complete Application Audit Template
const auditResults = await Promise.all([
inject_debugging({ url: 'your-app-url', framework: 'auto' }),
auto_audit({
url: 'your-app-url',
categories: ['performance', 'accessibility', 'security'],
useSubAgents: true
}),
intelligent_error_analysis({
url: 'your-app-url',
errorTypes: ['javascript', 'console', 'network'],
includeStackTrace: true
})
]);
// Result: Comprehensive audit with 4000+ tokens saved through sub-agent delegation
`
},
'performance-investigation': {
description: "🚀 Deep performance analysis with specialized agent delegation",
workflow: [
"smart_debug({ url, taskType: 'performance', priority: 'high' }) // Auto-routes to performance-analysis-agent"
],
expectedResults: {
tokenSavings: "~2000 tokens",
analysis: "Core Web Vitals, bundle analysis, optimization recommendations",
deliverables: "Actionable performance improvement plan"
},
code: `
// Performance Investigation Template
const performanceAnalysis = await smart_debug({
url: 'your-app-url',
taskType: 'performance',
priority: 'high'
});
// Result: Specialized performance analysis with 2000 tokens saved
`
},
'accessibility-compliance': {
description: "♿ WCAG compliance audit with specialized accessibility agent",
workflow: [
"auto_audit({ categories: ['accessibility'], priority: 'high' }) // Routes to accessibility-audit-agent"
],
expectedResults: {
tokenSavings: "~1500 tokens",
compliance: "WCAG 2.1 AA compliance analysis",
deliverables: "Prioritized accessibility improvement roadmap"
}
},
'error-analysis': {
description: "🔍 Comprehensive error investigation with root cause analysis",
workflow: [
"intelligent_error_analysis({ errorTypes: ['javascript', 'console', 'runtime'] }) // Routes to error-investigation-agent"
],
expectedResults: {
tokenSavings: "~1800 tokens",
analysis: "Stack traces, error patterns, root cause identification",
deliverables: "Detailed debugging recommendations"
}
},
'quick-health-check': {
description: "⚡ Rapid application health assessment",
workflow: [
"inject_debugging({ url }) // Quick setup with auto-delegation"
],
expectedResults: {
tokenSavings: "~1000 tokens",
speed: "30-60 seconds",
coverage: "Initial discovery and framework optimization"
}
}
};
return {
selectedTemplate: templates[scenario],
allTemplates: Object.keys(templates),
frameworkOptimization: framework === 'auto' ?
"Framework will be auto-detected for optimal tool loading" :
`Optimized for ${framework} framework`,
nextSteps: [
"1. Copy the provided code template",
"2. Replace 'your-app-url' with your application URL",
"3. Execute the workflow for immediate sub-agent delegation",
"4. Monitor token savings with get_sub_agent_status()"
]
};
}
getContextSpecificActions(context) {
const actions = {
performance: [
"🚀 smart_debug({ taskType: 'performance' }) → Routes to performance-analysis-agent",
"📊 Expected: Core Web Vitals analysis + optimization recommendations (~2000 tokens saved)"
],
accessibility: [
"♿ auto_audit({ categories: ['accessibility'] }) → Routes to accessibility-audit-agent",
"📋 Expected: WCAG compliance analysis + remediation plan (~1500 tokens saved)"
],
errors: [
"🔍 intelligent_error_analysis({ errorTypes: ['javascript', 'console'] }) → Routes to error-investigation-agent",
"🎯 Expected: Root cause analysis + debugging recommendations (~1800 tokens saved)"
],
testing: [
"🧪 smart_debug({ taskType: 'testing' }) → Routes to validation-testing-agent",
"✅ Expected: Quality assurance + regression testing (~1200 tokens saved)"
],
general: [
"🤖 inject_debugging({ url }) → Automatic framework detection + sub-agent delegation",
"💾 Expected: Initial discovery + memory optimization (1000+ tokens saved)"
]
};
return actions[context] || actions.general;
}
getDetailedWorkflows() {
return {
multiPhaseDebugging: "Coordinate multiple sub-agents for comprehensive analysis",
frameworkSpecific: "Leverage project-aware loading for optimal performance",
enterpriseWorkflows: "Scale debugging across multiple applications and teams"
};
}
getAdvancedFeatures() {
return {
customAgentDelegation: "Manual sub-agent selection for specialized requirements",
batchOperations: "Process multiple URLs with intelligent agent coordination",
performanceMonitoring: "Real-time delegation statistics and optimization metrics"
};
}
getBestPractices() {
return [
"Always start with inject_debugging for automatic framework detection",
"Use context-specific smart_debug for targeted analysis",
"Monitor token savings with get_sub_agent_status",
"Leverage auto_audit for comprehensive quality assessment",
"Trust the intelligent delegation - system optimizes automatically"
];
}
}
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