universal-infinite-loop-mcp-server by gptprojectmanager - MCP Server

Universal Infinite Loop MCP Server

A goal-agnostic parallel orchestration framework implementing Disler's Infinite Agentic Loop patterns as a Model Context Protocol (MCP) server. This system enables sophisticated multi-agent coordination for any domain through specification-driven architecture.

🎯 Core Features

Universal Goal Support

UI Components: React, Vue, Angular, Web Components
Documentation: Technical docs, API references, tutorials, guides
Code Generation: Functions, classes, modules, entire applications
Research & Analysis: Data analysis, reports, investigations
Content Creation: Articles, marketing copy, social media, blogs
Design Systems: Component libraries, style guides, design tokens

Sophisticated Orchestration

Wave-Based Generation: Parallel agent coordination with progressive sophistication
Context Management: Intelligent context usage monitoring and graceful degradation
Innovation Dimensions: Multi-dimensional creative exploration and uniqueness enforcement
Quality Assurance: Domain-specific validation and quality scoring
Failure Handling: Graceful error recovery and agent reassignment

Specification-Driven Architecture

Flexible Specifications: Adapt to any domain through comprehensive specification system
Progressive Sophistication: Multiple sophistication levels from basic to revolutionary
Evolution Patterns: Linear, exponential, adaptive, and creative burst generation patterns
Validation Rules: Customizable validation for syntax, semantics, functionality, and quality

🚀 Quick Start

Installation

# Clone and install
git clone <repository-url>
cd infinite-loop-mcp-server
npm install

# Build
npm run build

# Run in development
npm run dev

MCP Configuration

Add to your MCP client configuration:

{
  "mcpServers": {
    "infinite-loop": {
      "command": "node",
      "args": ["/path/to/infinite-loop-mcp-server/dist/server.js"]
    }
  }
}

🛠️ MCP Tools

`infinite_orchestrate`

Main orchestration tool for goal-agnostic parallel generation.

{
  specification: UniversalSpecification,
  outputDirectory: string,
  mode: {
    type: 'SINGLE' | 'BATCH' | 'INFINITE',
    count: number | 'INFINITE',
    batchSize?: number,
    maxWaves?: number
  },
  config?: {
    contextThreshold?: number,
    gracefulShutdown?: boolean,
    progressiveSophistication?: boolean
  }
}

Example - UI Component Generation:

{
  "specification": {
    "name": "React Search Components",
    "description": "Modern search interface components with various interaction patterns",
    "domain": {
      "category": "UI",
      "subcategory": "React Components",
      "targetAudience": "Frontend Developers",
      "complexity": "MODERATE"
    },
    "outputRequirements": {
      "format": "tsx",
      "structure": "Single component file with TypeScript",
      "namingPattern": "SearchComponent_{number}.tsx",
      "qualityStandards": ["TypeScript compliant", "Accessible", "Responsive"]
    },
    "innovationDimensions": ["interaction_patterns", "visual_design", "accessibility", "performance"],
    "sophisticationLevels": [...],
    "evolutionPattern": "CREATIVE_BURST"
  },
  "outputDirectory": "./generated-components",
  "mode": {
    "type": "BATCH",
    "count": 10,
    "batchSize": 5
  }
}

Example - Documentation Generation:

{
  "specification": {
    "name": "API Documentation",
    "description": "Comprehensive API documentation with examples and best practices",
    "domain": {
      "category": "DOCUMENTATION",
      "subcategory": "API Reference",
      "targetAudience": "Developers",
      "complexity": "COMPLEX"
    },
    "outputRequirements": {
      "format": "md",
      "structure": "Structured markdown with code examples",
      "namingPattern": "api_docs_{number}.md",
      "qualityStandards": ["Complete coverage", "Clear examples", "Best practices"]
    },
    "innovationDimensions": ["clarity", "completeness", "interactivity", "searchability"],
    "evolutionPattern": "LINEAR"
  },
  "outputDirectory": "./docs",
  "mode": {
    "type": "INFINITE",
    "count": "INFINITE"
  }
}

`wave_plan`

Plan generation waves with sophisticated agent assignment.

{
  existingWork: IterationInfo[],
  sophisticationLevel: SophisticationLevel,
  targetCount: number,
  contextBudget: number
}

`agent_coordinate`

Coordinate parallel agent execution with uniqueness enforcement.

{
  assignments: AgentAssignment[],
  innovationDimensions: string[],
  contextMonitor: ContextMonitor
}

`context_monitor`

Monitor context capacity and manage graceful shutdown.

{
  waveId: string,
  capacityThreshold: number,
  gracefulShutdown: boolean
}

`spec_validate`

Validate and enhance specifications with intelligent defaults.

{
  userSpec: Partial<UniversalSpecification>,
  domain: SpecificationDomain,
  outputRequirements: any
}

📋 Specification System

Universal Specification Structure

interface UniversalSpecification {
  id: string;
  name: string;
  description: string;
  domain: SpecificationDomain;
  version: string;
  
  outputRequirements: {
    format: string;
    structure: string;
    namingPattern: string;
    qualityStandards: string[];
  };
  
  innovationDimensions: string[];
  sophisticationLevels: SophisticationLevel[];
  constraints: string[];
  evolutionPattern: 'LINEAR' | 'EXPONENTIAL' | 'ADAPTIVE' | 'CREATIVE_BURST';
  progressionStrategy: string;
  successCriteria: string[];
  validationRules: ValidationRule[];
}

Sophistication Levels

Basic: Fundamental functionality with core features
Intermediate: Enhanced features with improved user experience
Advanced: Sophisticated implementation with innovative approaches
Revolutionary: Cutting-edge concepts pushing domain boundaries

🌊 Wave-Based Generation

Generation Modes

SINGLE: Generate one iteration
BATCH: Generate specific number of iterations in coordinated batches
INFINITE: Continuous generation until context limits with progressive sophistication

Wave Coordination

Parallel Execution: Multiple agents working simultaneously with unique assignments
Innovation Assignment: Each agent gets distinct innovation dimension to explore
Context Management: Intelligent context usage tracking and optimization
Quality Assurance: Real-time validation and quality scoring
Uniqueness Enforcement: Prevention of duplicate concepts across parallel streams

Progressive Sophistication

Wave 1: Basic functional implementations
Wave 2: Enhanced features and user experience  
Wave 3: Advanced concepts and innovative approaches
Wave N: Revolutionary paradigm-defining implementations

🔧 Integration Examples

With Shrimp Task Manager

// Detect when parallel generation is needed
if (taskRequiresParallelGeneration(task)) {
  const specification = generateSpecificationFromTask(task);
  
  const result = await mcpClient.callTool('infinite_orchestrate', {
    specification,
    outputDirectory: task.outputDirectory,
    mode: {
      type: 'BATCH',
      count: task.iterationCount,
      batchSize: 5
    }
  });
  
  return integrateResultsIntoTask(result, task);
}

Custom Domain Integration

// Define custom domain specification
const customSpec: UniversalSpecification = {
  name: "Custom Data Analysis",
  domain: {
    category: "ANALYSIS",
    subcategory: "Financial Reports", 
    targetAudience: "Business Analysts",
    complexity: "COMPLEX"
  },
  innovationDimensions: [
    "visualization_techniques",
    "data_insights", 
    "predictive_modeling",
    "business_impact"
  ],
  // ... rest of specification
};

📊 Monitoring & Analytics

Context Monitoring

Real-time context usage tracking
Graceful shutdown when approaching limits
Wave-based context optimization
Agent-specific context allocation

Quality Metrics

Functionality compliance scoring
Innovation uniqueness measurement
Domain-specific quality validation
Progressive improvement tracking

Performance Analytics

Agent coordination efficiency
Wave execution timing
Resource utilization optimization
Failure rate and recovery metrics

🎯 Use Cases

UI/UX Development

Generate diverse component variations
Explore different interaction patterns
Create comprehensive design systems
Test accessibility approaches

Documentation Projects

Create multi-perspective documentation
Generate comprehensive examples
Explore different explanation styles
Develop interactive documentation

Code Development

Generate alternative implementations
Explore architectural patterns
Create comprehensive test suites
Develop optimization variations

Research & Analysis

Explore multiple analysis angles
Generate diverse visualization approaches
Create comprehensive reports
Investigate different methodologies

🛣️ Roadmap

Phase 1: Core Implementation ✅

Universal specification system
Wave-based generation framework
Agent coordination system
Context management

Phase 2: Advanced Features

Machine learning-based quality prediction
Dynamic specification evolution
Cross-domain knowledge transfer
Performance optimization

Phase 3: Ecosystem Integration

IDE extensions and plugins
Cloud deployment options
Collaboration features
Marketplace for specifications

🤝 Contributing

Contributions are welcome! Please read our contributing guidelines and submit pull requests for any improvements.

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

Based on Disler's Infinite Agentic Loop concept with universal goal-agnostic adaptations for maximum reusability and flexibility.

gptprojectmanager/universal-infinite-loop-mcp-server

infinite_orchestrate

wave_plan

agent_coordinate

context_monitor

spec_validate