zai-mcp-server
Version:
🚀 REVOLUTIONARY AI-to-AI Collaboration Platform v6.1! NEW: Advanced Debugging Tools with Screenshot Analysis, Console Error Parsing, Automated Fix Generation, 5 Specialized Debugging Agents, Visual UI Analysis, JavaScript Error Intelligence, CSS/HTML Fix
1,135 lines (1,089 loc) • 582 kB
JavaScript
#!/usr/bin/env node
/**
* ZAI MCP Server - AI-to-AI Loop System with Multi-Provider Support
* Supports OpenRouter, Anthropic, and DeepSeek APIs with automatic failover
*/
import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js';
import { MultiProviderAI } from './multiProviderAI.js';
import { ZAIDataCollector } from './data-collection-system.js';
import { AIVotingManager } from './aiVotingManager.js';
import { TaskManager } from './taskManager.js';
import { DeepThinking } from './deepThinking.js';
import { ParallelImplementation } from './parallelImplementation.js';
import { AIAgentCoordinator } from './aiAgentCoordinator.js';
import { SmartCaching } from './smartCaching.js';
import { ProjectMemory } from './projectMemory.js';
import { AIModelAnalytics } from './aiModelAnalytics.js';
import { WorkflowTemplates } from './workflowTemplates.js';
import { RealTimeCollaboration } from './realTimeCollaboration.js';
import { AISwarmIntelligence } from './aiSwarmIntelligence.js';
import { PredictiveTaskManagement } from './predictiveTaskManagement.js';
import { RealTimeCodeGeneration } from './realTimeCodeGeneration.js';
import { AdaptiveLearningSystem } from './adaptiveLearningSystem.js';
import { EnhancedPromptLibrary } from './enhancedPromptLibrary.js';
import { InputSanitizer } from './inputSanitizer.js';
import { AdvancedAILoopEngine } from './advancedAILoopEngine.js';
import { AdaptiveTimingEngine } from './adaptiveTimingEngine.js';
import { MultiAgentCollaborator } from './multiAgentCollaborator.js';
import { AdvancedWorkflowEngine } from './advancedWorkflowEngine.js';
import { PerformanceOptimizationSuite } from './performanceOptimizationSuite.js';
import { InnovativeFeatureSet } from './innovativeFeatureSet.js';
import { AutonomousAITeams } from './autonomousAITeams.js';
import { IntelligentOrchestrator } from './intelligentOrchestrator.js';
import { UniversalIntegrationHub } from './universalIntegrationHub.js';
import { AdvancedLoopIntelligence } from './advancedLoopIntelligence.js';
import { LoopWorkflowEngine } from './loopWorkflowEngine.js';
import { SpecializedAgentSystem } from './specializedAgentSystem.js';
import { DebuggingOrchestrator } from './debuggingOrchestrator.js';
import { AndroidDebuggingManager } from './androidDebuggingManager.js';
import { AndroidUIAnalyzer } from './androidUIAnalyzer.js';
import { AndroidFixGenerator } from './androidFixGenerator.js';
// Revolutionary Performance Engines v8.0.0
import { WASMPerformanceEngine } from './wasmPerformanceEngine.js';
import { GPUAccelerationEngine } from './gpuAccelerationEngine.js';
import { QuantumDebuggingEngine } from './quantumDebuggingEngine.js';
import { AdvancedAISwarm } from './advancedAISwarm.js';
import { UniversalPlatformDebugger } from './universalPlatformDebugger.js';
// Strict Progress Validation System
import { StrictProgressValidator } from './strictProgressValidator.js';
// External MCP Bridge for Integration Fixes
import { ExternalMCPBridge } from './externalMCPBridge.js';
class ZAIMCPServer {
constructor() {
this.server = new Server(
{
name: 'zai-mcp-server',
version: '2.0.0',
},
{
capabilities: {
tools: {},
},
}
);
// Initialize AI providers, voting system, and data collection
try {
// Initialize Smart Caching System first
this.smartCache = new SmartCaching({
cacheDir: './cache',
maxCacheSize: 1000,
similarityThreshold: 0.85,
costSavingsTarget: 0.7
});
// Initialize AI Model Performance Analytics before MultiProviderAI
this.modelAnalytics = new AIModelAnalytics({
analyticsDir: './analytics',
maxHistoryEntries: 1000
});
this.multiAI = new MultiProviderAI(this.smartCache, this.modelAnalytics);
this.votingManager = new AIVotingManager(this.multiAI);
this.dataCollector = new ZAIDataCollector();
// Initialize advanced task management components
this.taskManager = new TaskManager(this.multiAI, this.votingManager);
this.deepThinking = new DeepThinking(this.multiAI, this.votingManager);
this.parallelImplementation = new ParallelImplementation(this.multiAI, this.taskManager, this.deepThinking);
// Initialize AI Agent Coordinator for enhanced interaction management
this.aiCoordinator = new AIAgentCoordinator(this);
// Initialize Project Memory & Context Persistence
this.projectMemory = new ProjectMemory({
memoryDir: './memory',
maxProjects: 100,
maxContextHistory: 50
});
// Initialize Workflow Templates System
this.workflowTemplates = new WorkflowTemplates({
templatesDir: './templates',
customTemplatesDir: './custom-templates',
maxCustomTemplates: 50
});
// Initialize Real-time Collaboration System
this.collaboration = new RealTimeCollaboration({
collaborationDir: './collaboration',
maxWorkspaces: 100,
maxUsersPerWorkspace: 20,
sessionTimeout: 30 * 60 * 1000 // 30 minutes
});
// Initialize AI Swarm Intelligence System
this.swarmIntelligence = new AISwarmIntelligence({
swarmDir: './swarm',
maxActiveSwarms: 10,
agentTimeout: 5 * 60 * 1000, // 5 minutes
coordinationStrategy: 'democratic'
});
// Initialize Predictive Task Management System
this.predictiveTaskManagement = new PredictiveTaskManagement({
predictiveDir: './predictive',
maxHistoryEntries: 1000,
predictionAccuracyThreshold: 0.75,
riskAssessmentInterval: 60000 // 1 minute
});
// Initialize Real-time Code Generation & Review System
this.realTimeCodeGeneration = new RealTimeCodeGeneration({
codeGenDir: './codegen',
maxSuggestions: 5,
analysisInterval: 1000, // 1 second
maxCodeHistory: 100
});
// Initialize Adaptive Learning System
this.adaptiveLearningSystem = new AdaptiveLearningSystem({
learningDir: './learning',
maxLearningEntries: 10000,
adaptationThreshold: 0.7,
learningRate: 0.1,
personalityUpdateInterval: 24 * 60 * 60 * 1000 // 24 hours
});
// Initialize Enhanced Prompt Library
this.enhancedPromptLibrary = new EnhancedPromptLibrary({
libraryDir: './prompt-library',
maxPrompts: 10000,
maxVersions: 10,
abTestDuration: 7 * 24 * 60 * 60 * 1000, // 7 days
communityModerationThreshold: 0.8
});
// Initialize Input Sanitizer
this.inputSanitizer = new InputSanitizer();
} catch (error) {
console.error('❌ Failed to initialize components:', error);
throw error;
}
// Active loops storage
this.activeLoops = new Map();
this.loopCounter = 0;
// Agent state management
this.agentBusy = false;
this.pendingResponses = [];
// Initialize Strict Acknowledgment System with Topic-Aware AI Prompts
this.acknowledgmentSystem = {
pendingAcknowledgments: new Map(),
strictMode: true,
acknowledgmentTimeout: 30000, // 30 seconds
maxRetries: 3,
blockedOperations: new Set(),
lastAcknowledgmentTime: Date.now(),
acknowledgmentHistory: [],
requireAcknowledgmentBeforePrompts: true,
promptQueue: [],
acknowledgmentRequired: false,
currentLoopId: null,
acknowledgedTopics: new Map(), // Track acknowledged topics for contextual prompts
topicContext: new Map(), // Store topic context and related information
promptGenerationRules: new Map() // Rules for generating topic-specific prompts
};
// Start acknowledgment monitoring
this.startAcknowledgmentMonitoring();
// Initialize Advanced AI Loop Engine
this.advancedAILoopEngine = new AdvancedAILoopEngine(this);
console.log('🚀 Advanced AI Loop Engine initialized with comprehensive enhancements');
// Initialize Game-Changing Features
this.autonomousAITeams = new AutonomousAITeams(this.multiAI, this.dataCollector);
this.intelligentOrchestrator = new IntelligentOrchestrator(this.multiAI, this.autonomousAITeams, this.dataCollector);
this.universalIntegrationHub = new UniversalIntegrationHub(this.multiAI, this.dataCollector);
console.log('🎯 Game-changing features initialized: Autonomous AI Teams, Intelligent Orchestration, Universal Integration Hub');
// Initialize Advanced Loop Features
this.advancedLoopIntelligence = new AdvancedLoopIntelligence();
this.loopWorkflowEngine = new LoopWorkflowEngine();
this.specializedAgentSystem = new SpecializedAgentSystem();
console.log('🧠 Advanced Loop Features initialized: Loop Intelligence, Workflow Engine, Specialized Agents');
// Initialize Advanced Debugging Tools
this.debuggingOrchestrator = new DebuggingOrchestrator(this.multiAI, this.specializedAgentSystem);
console.log('🔧 Advanced Debugging Tools initialized: Screenshot Analysis, Console Error Parsing, Automated Fix Generation');
// Initialize Android Debugging Tools
this.androidDebuggingManager = new AndroidDebuggingManager(this.multiAI, this.debuggingOrchestrator);
this.androidUIAnalyzer = new AndroidUIAnalyzer(this.multiAI);
this.androidFixGenerator = new AndroidFixGenerator(this.multiAI);
console.log('📱 Android Debugging Tools initialized: Wireless Debugging, Mobile UI Analysis, Android Fix Generation');
// Initialize Revolutionary Performance Engines v8.0.0
this.wasmEngine = new WASMPerformanceEngine();
this.gpuEngine = new GPUAccelerationEngine();
this.quantumDebugger = new QuantumDebuggingEngine();
this.aiSwarm = new AdvancedAISwarm();
this.universalDebugger = new UniversalPlatformDebugger();
console.log('🚀 Revolutionary Performance Engines v8.0.0 initialized');
console.log('⚡ WASM: 10x speed boost | 🔥 GPU: 1000x AI acceleration | 🌌 Quantum: Multi-timeline debugging');
console.log('🤖 AI Swarm: Autonomous development | 🌐 Universal: Debug anything, anywhere');
// Initialize Strict Progress Validation System
this.strictValidator = new StrictProgressValidator();
this.agentSessions = new Map(); // Track AI agent sessions
this.featureUsageTracking = new Map(); // Track feature usage per agent
console.log('🔒 Strict Progress Validation System initialized');
console.log('⚠️ MANDATORY: AI agents must use 75%+ of required features');
console.log('📊 Compliance threshold: 85% | Quality threshold: 80%');
// Initialize External MCP Bridge
this.externalBridge = new ExternalMCPBridge();
// Initialize bridge asynchronously after constructor
this.initializeExternalBridge();
console.log('🌉 External MCP Bridge initializing with fallback support');
this.setupToolHandlers();
this.setupErrorHandling();
// 🆓 FREE VERSION - No license validation required
console.error('🆓 ZAI MCP Server - FREE VERSION');
console.error('📊 Data collection enabled for AI training');
console.error('💡 Help us improve AI by using this free service!');
}
/**
* Initialize external bridge asynchronously
*/
async initializeExternalBridge() {
try {
await this.externalBridge.initialize();
console.log('🔄 Bridge status:', this.externalBridge.getBridgeStatus().externalServerStatus);
} catch (error) {
console.warn('⚠️ External bridge initialization failed:', error.message);
}
}
/**
* Start acknowledgment monitoring system
*/
startAcknowledgmentMonitoring() {
// Check for pending acknowledgments every 5 seconds
setInterval(() => {
this.checkPendingAcknowledgments();
}, 5000);
// Check for acknowledgment timeout every 30 seconds
setInterval(() => {
this.checkAcknowledgmentTimeout();
}, 30000);
console.error('🔒 Strict Acknowledgment System initialized');
console.error('⚠️ AI prompts will be blocked until proper acknowledgment');
}
/**
* Check for pending acknowledgments
*/
checkPendingAcknowledgments() {
const now = Date.now();
for (const [loopId, ackData] of this.acknowledgmentSystem.pendingAcknowledgments) {
const timePending = now - ackData.timestamp;
if (timePending > this.acknowledgmentSystem.acknowledgmentTimeout) {
console.error(`🚨 ACKNOWLEDGMENT TIMEOUT: Loop ${loopId} - ${Math.round(timePending/1000)}s without acknowledgment`);
console.error('🔒 AI prompts BLOCKED until acknowledgment received');
// Block all AI operations for this loop
this.acknowledgmentSystem.blockedOperations.add(loopId);
}
}
}
/**
* Check for overall acknowledgment timeout
*/
checkAcknowledgmentTimeout() {
const now = Date.now();
const timeSinceLastAck = now - this.acknowledgmentSystem.lastAcknowledgmentTime;
if (timeSinceLastAck > 60000 && this.acknowledgmentSystem.acknowledgmentRequired) { // 1 minute
console.error('🚨 CRITICAL: No acknowledgment received for over 1 minute');
console.error('🔒 ALL AI OPERATIONS BLOCKED until acknowledgment');
console.error('📋 Please use acknowledge_agent_response tool to continue');
// Block all operations
this.acknowledgmentSystem.strictMode = true;
}
}
setupToolHandlers() {
// List available tools
this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: 'activate_infinite_loop',
description: 'Start AI-to-AI improvement loops for continuous development',
inputSchema: {
type: 'object',
properties: {
message: {
type: 'string',
description: 'Activation message with topic (format: "zailoop [topic]")'
},
aiToAi: {
type: 'boolean',
description: 'Enable AI-to-AI communication mode',
default: true
},
interval: {
type: 'number',
description: 'Loop interval in milliseconds',
default: 5000
},
maxIterations: {
type: 'number',
description: 'Maximum iterations before auto-stop',
default: 999999
}
},
required: ['message']
}
},
{
name: 'stop_ai_loops',
description: 'Stop all active AI-to-AI loops',
inputSchema: {
type: 'object',
properties: {
message: {
type: 'string',
description: 'Stop command (e.g., "stploop")'
}
},
required: ['message']
}
},
{
name: 'list_active_loops',
description: 'View running loops',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'get_ai_provider_status',
description: 'Check provider status',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'reset_ai_providers',
description: 'Reset failed providers',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'get_ai_prompts',
description: 'Get AI-generated prompts',
inputSchema: {
type: 'object',
properties: {
limit: {
type: 'number',
description: 'Maximum number of prompts to return',
default: 5
}
},
required: []
}
},
{
name: 'acknowledge_agent_response',
description: 'Process AI responses',
inputSchema: {
type: 'object',
properties: {
loopId: {
type: 'string',
description: 'The ID of the loop to acknowledge'
},
agentResponse: {
type: 'string',
description: 'The agent response text'
}
},
required: ['loopId']
}
},
{
name: 'ai_voting_request',
description: 'Submit prompt for multi-model AI consensus voting',
inputSchema: {
type: 'object',
properties: {
prompt: {
type: 'string',
description: 'The prompt to submit for AI voting'
},
panel: {
type: 'string',
description: 'Voting panel to use (general, coding, reasoning, premium)',
default: 'general'
},
strategy: {
type: 'string',
description: 'Voting strategy (majority, consensus, weighted, unanimous)',
default: 'consensus'
},
maxAgents: {
type: 'number',
description: 'Maximum number of agents to use',
default: 5
}
},
required: ['prompt']
}
},
{
name: 'get_voting_history',
description: 'View recent voting sessions',
inputSchema: {
type: 'object',
properties: {
limit: {
type: 'number',
description: 'Number of recent sessions to return',
default: 5
}
},
required: []
}
},
{
name: 'get_agent_performance',
description: 'Check AI agent performance statistics',
inputSchema: {
type: 'object',
properties: {
agentId: {
type: 'string',
description: 'Specific agent ID to check (optional)'
}
},
required: []
}
},
{
name: 'analyze_task_breakdown',
description: 'Analyze a topic and break it down into actionable subtasks with prioritization',
inputSchema: {
type: 'object',
properties: {
topic: {
type: 'string',
description: 'The topic or project to analyze and break down'
},
context: {
type: 'object',
description: 'Additional context for the analysis (optional)'
}
},
required: ['topic']
}
},
{
name: 'deep_think_implementation',
description: 'Perform deep thinking analysis on a specific task to explore solutions and create implementation plans',
inputSchema: {
type: 'object',
properties: {
taskId: {
type: 'string',
description: 'ID of the task to analyze'
},
taskName: {
type: 'string',
description: 'Name of the task (if taskId not available)'
},
taskDescription: {
type: 'string',
description: 'Description of the task (if taskId not available)'
},
context: {
type: 'object',
description: 'Additional context for deep thinking (optional)'
}
},
required: []
}
},
{
name: 'get_cache_analytics',
description: 'Get smart caching system analytics and performance metrics',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'clear_cache',
description: 'Clear the smart cache system',
inputSchema: {
type: 'object',
properties: {
confirm: {
type: 'boolean',
description: 'Confirmation to clear cache'
}
},
required: ['confirm']
}
},
{
name: 'optimize_cache',
description: 'Optimize cache performance by removing low-value entries',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'create_project',
description: 'Create a new project in memory for context persistence',
inputSchema: {
type: 'object',
properties: {
projectName: {
type: 'string',
description: 'Name of the project'
},
context: {
type: 'object',
description: 'Project context and metadata'
}
},
required: ['projectName']
}
},
{
name: 'get_project_memory',
description: 'Retrieve project memory and context',
inputSchema: {
type: 'object',
properties: {
projectId: {
type: 'string',
description: 'Project ID to retrieve'
}
},
required: ['projectId']
}
},
{
name: 'set_user_preference',
description: 'Set user preference for personalization',
inputSchema: {
type: 'object',
properties: {
key: {
type: 'string',
description: 'Preference key'
},
value: {
description: 'Preference value'
},
context: {
type: 'object',
description: 'Context for the preference'
}
},
required: ['key', 'value']
}
},
{
name: 'get_memory_analytics',
description: 'Get project memory analytics and insights',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'get_recommended_strategies',
description: 'Get recommended strategies based on context and history',
inputSchema: {
type: 'object',
properties: {
context: {
type: 'object',
description: 'Current context for recommendations'
},
limit: {
type: 'number',
description: 'Maximum number of strategies to return'
}
},
required: []
}
},
{
name: 'get_model_analytics',
description: 'Get AI model performance analytics and rankings',
inputSchema: {
type: 'object',
properties: {
taskType: {
type: 'string',
description: 'Filter by specific task type'
},
metric: {
type: 'string',
description: 'Ranking metric (overall, speed, cost, quality, reliability)'
}
},
required: []
}
},
{
name: 'get_cost_analysis',
description: 'Get detailed cost analysis for AI model usage',
inputSchema: {
type: 'object',
properties: {
timeframe: {
type: 'string',
description: 'Analysis timeframe (day, week, month, all)'
}
},
required: []
}
},
{
name: 'get_recommended_model',
description: 'Get recommended AI model for specific task type and priorities',
inputSchema: {
type: 'object',
properties: {
taskType: {
type: 'string',
description: 'Type of task'
},
priorities: {
type: 'object',
description: 'Priority weights for cost, speed, quality (0-1)'
}
},
required: ['taskType']
}
},
{
name: 'get_performance_trends',
description: 'Get performance trends over time',
inputSchema: {
type: 'object',
properties: {
metric: {
type: 'string',
description: 'Metric to analyze (responseTime, successRate, qualityScore, cost)'
},
timeframe: {
type: 'string',
description: 'Time period (day, week, month)'
}
},
required: []
}
},
{
name: 'list_workflow_templates',
description: 'List available workflow templates with filtering options',
inputSchema: {
type: 'object',
properties: {
category: {
type: 'string',
description: 'Filter by category (web_development, api_development, data_analysis, machine_learning, devops)'
},
framework: {
type: 'string',
description: 'Filter by framework (react, nodejs, python, docker, etc.)'
},
complexity: {
type: 'string',
description: 'Filter by complexity (low, medium, high)'
},
search: {
type: 'string',
description: 'Search query for template name, description, or tags'
}
},
required: []
}
},
{
name: 'get_workflow_template',
description: 'Get detailed information about a specific workflow template',
inputSchema: {
type: 'object',
properties: {
templateId: {
type: 'string',
description: 'ID of the template to retrieve'
}
},
required: ['templateId']
}
},
{
name: 'create_custom_template',
description: 'Create a new custom workflow template',
inputSchema: {
type: 'object',
properties: {
name: {
type: 'string',
description: 'Template name'
},
category: {
type: 'string',
description: 'Template category'
},
description: {
type: 'string',
description: 'Template description'
},
framework: {
type: 'string',
description: 'Primary framework or technology'
},
complexity: {
type: 'string',
description: 'Complexity level (low, medium, high)'
},
estimatedTime: {
type: 'string',
description: 'Estimated completion time'
},
tags: {
type: 'array',
description: 'Template tags',
items: { type: 'string' }
},
steps: {
type: 'array',
description: 'Template steps',
items: { type: 'object' }
},
dependencies: {
type: 'array',
description: 'Required dependencies',
items: { type: 'string' }
},
resources: {
type: 'array',
description: 'Helpful resources and links',
items: { type: 'string' }
}
},
required: ['name', 'category', 'description', 'steps']
}
},
{
name: 'get_template_recommendations',
description: 'Get recommended templates based on context and usage patterns',
inputSchema: {
type: 'object',
properties: {
context: {
type: 'object',
description: 'Context for recommendations (category, framework, tags, etc.)'
},
limit: {
type: 'number',
description: 'Maximum number of recommendations to return'
}
},
required: []
}
},
{
name: 'get_template_analytics',
description: 'Get workflow template usage analytics and statistics',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'create_workspace',
description: 'Create a new collaborative workspace',
inputSchema: {
type: 'object',
properties: {
name: {
type: 'string',
description: 'Workspace name'
},
creatorId: {
type: 'string',
description: 'ID of the workspace creator'
},
options: {
type: 'object',
description: 'Workspace configuration options'
}
},
required: ['name', 'creatorId']
}
},
{
name: 'join_workspace',
description: 'Join an existing collaborative workspace',
inputSchema: {
type: 'object',
properties: {
workspaceId: {
type: 'string',
description: 'ID of the workspace to join'
},
userId: {
type: 'string',
description: 'ID of the user joining'
},
userInfo: {
type: 'object',
description: 'User information and preferences'
}
},
required: ['workspaceId', 'userId']
}
},
{
name: 'execute_collaborative_operation',
description: 'Execute an operation in a collaborative workspace',
inputSchema: {
type: 'object',
properties: {
sessionId: {
type: 'string',
description: 'User session ID'
},
operation: {
type: 'object',
description: 'Operation to execute',
properties: {
type: { type: 'string' },
data: { type: 'object' }
},
required: ['type', 'data']
}
},
required: ['sessionId', 'operation']
}
},
{
name: 'get_workspace_status',
description: 'Get current status and state of a workspace',
inputSchema: {
type: 'object',
properties: {
workspaceId: {
type: 'string',
description: 'ID of the workspace'
},
userId: {
type: 'string',
description: 'ID of the requesting user'
}
},
required: ['workspaceId', 'userId']
}
},
{
name: 'get_collaboration_analytics',
description: 'Get real-time collaboration analytics and statistics',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'create_ai_swarm',
description: 'Create a specialized AI swarm for complex tasks',
inputSchema: {
type: 'object',
properties: {
taskDescription: {
type: 'string',
description: 'Description of the task for the AI swarm'
},
requiredAgents: {
type: 'array',
description: 'Required agent types (frontend, backend, devops, testing, security)',
items: { type: 'string' }
},
options: {
type: 'object',
description: 'Swarm configuration options'
}
},
required: ['taskDescription']
}
},
{
name: 'get_swarm_status',
description: 'Get current status and progress of an AI swarm',
inputSchema: {
type: 'object',
properties: {
swarmId: {
type: 'string',
description: 'ID of the AI swarm'
}
},
required: ['swarmId']
}
},
{
name: 'get_swarm_analytics',
description: 'Get AI swarm intelligence analytics and performance metrics',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'terminate_swarm',
description: 'Terminate an active AI swarm',
inputSchema: {
type: 'object',
properties: {
swarmId: {
type: 'string',
description: 'ID of the AI swarm to terminate'
}
},
required: ['swarmId']
}
},
{
name: 'create_predictive_project',
description: 'Create a new project with AI-powered predictive analytics',
inputSchema: {
type: 'object',
properties: {
name: {
type: 'string',
description: 'Project name'
},
description: {
type: 'string',
description: 'Project description'
},
team: {
type: 'array',
description: 'Team members with skills and experience',
items: { type: 'object' }
},
startDate: {
type: 'number',
description: 'Project start date (timestamp)'
},
resources: {
type: 'object',
description: 'Available resources'
}
},
required: ['name', 'description']
}
},
{
name: 'add_predictive_task',
description: 'Add a task to a predictive project with failure prediction and timeline estimation',
inputSchema: {
type: 'object',
properties: {
projectId: {
type: 'string',
description: 'Project ID'
},
title: {
type: 'string',
description: 'Task title'
},
description: {
type: 'string',
description: 'Task description'
},
type: {
type: 'string',
description: 'Task type (development, testing, design, etc.)'
},
complexity: {
type: 'string',
description: 'Task complexity (low, medium, high, critical)'
},
priority: {
type: 'string',
description: 'Task priority (low, medium, high, critical)'
},
assignee: {
type: 'string',
description: 'Assigned team member ID'
},
estimatedHours: {
type: 'number',
description: 'Estimated hours to complete'
},
dependencies: {
type: 'array',
description: 'Task dependencies (task IDs)',
items: { type: 'string' }
}
},
required: ['projectId', 'title', 'description']
}
},
{
name: 'get_project_predictions',
description: 'Get AI predictions for a project including failure risk, timeline accuracy, and resource optimization',
inputSchema: {
type: 'object',
properties: {
projectId: {
type: 'string',
description: 'Project ID'
}
},
required: ['projectId']
}
},
{
name: 'get_task_predictions',
description: 'Get AI predictions for a specific task',
inputSchema: {
type: 'object',
properties: {
projectId: {
type: 'string',
description: 'Project ID'
},
taskId: {
type: 'string',
description: 'Task ID'
}
},
required: ['projectId', 'taskId']
}
},
{
name: 'get_predictive_analytics',
description: 'Get comprehensive predictive analytics and model performance metrics',
inputSchema: {
type: 'object',
properties: {},
required: []
}
},
{
name: 'optimize_project_timeline',
description: 'Get AI-powered timeline optimization suggestions for a project',
inputSchema: {
type: 'object',
properties: {
projectId: {
type: 'string',
description: 'Project ID'
}
},
required: ['projectId']
}
},
{
name: 'start_code_session',
description: 'Start a real-time code generation and review session',
inputSchema: {
type: 'object',
properties: {
userId: {
type: 'string',
description: 'User ID'
},
projectId: {
type: 'string',
description: 'Project ID (optional)'