# Llama Maverick Hub MCP Server

**Author: Yobie Benjamin**  
**Version: 0.2**  
**Date: July 28, 2025**

## Overview

The Llama Maverick Hub MCP Server is a revolutionary orchestration platform that positions Llama Maverick as the central AI brain connecting to and coordinating multiple MCP-enabled services. Unlike traditional MCP servers that provide tools to AI models, this hub **makes Llama the orchestrator** that intelligently manages and routes requests across multiple MCP services like Stripe, GitHub, databases, and more.

### Key Innovation

This is a **Meta-MCP Server** that acts as both:
- **MCP Server**: Exposes unified tools to Claude Desktop or other MCP clients
- **MCP Client**: Connects to multiple external MCP services (Stripe, GitHub, etc.)
- **AI Orchestrator**: Uses Llama Maverick to make intelligent routing and workflow decisions

## Architecture

```
┌─────────────────┐
│  Claude Desktop │
│   (MCP Client)  │
└────────┬────────┘
         │ MCP Protocol
         ▼
┌─────────────────────────────────────┐
│    Llama Maverick Hub MCP Server    │
│  ┌─────────────────────────────┐    │
│  │   Llama Maverick AI Brain   │    │
│  │  (Orchestration & Routing)  │    │
│  └─────────────────────────────┘    │
│           │         │         │      │
│    ┌──────▼───┬────▼───┬────▼───┐  │
│    │ Service  │ Service│ Service│  │
│    │ Registry │ Router │ Manager│  │
│    └──────────┴────────┴────────┘  │
└─────────┬──────────┬──────────┬────┘
          │          │          │
     MCP Protocol  MCP      MCP Protocol
          │       Protocol      │
          ▼          ▼          ▼
    ┌──────────┐ ┌──────┐ ┌──────────┐
    │  Stripe  │ │GitHub│ │ Database │
    │   MCP    │ │ MCP  │ │   MCP    │
    └──────────┘ └──────┘ └──────────┘
```

## Features

### 🧠 AI-Driven Orchestration
- **Intelligent Routing**: Llama analyzes requests and routes to the best service
- **Workflow Planning**: AI designs multi-step workflows across services
- **Error Recovery**: Smart error analysis and retry strategies
- **Result Synthesis**: Combines results from multiple services intelligently

### 🔗 Multi-Service Integration
- **Service Discovery**: Automatic discovery of MCP service capabilities
- **Unified Tool Access**: Single interface to tools from all connected services
- **Parallel Execution**: Query multiple services simultaneously
- **Service Health Monitoring**: Track availability and performance

### 🔄 Advanced Workflows
- **Multi-Step Operations**: Chain operations across different services
- **Dependency Management**: Handle complex step dependencies
- **Context Passing**: Share data between workflow steps
- **Retry Policies**: Configurable retry strategies per step

### 🎯 Real-World Integrations
- **Stripe MCP**: Complete payment workflows with orchestration
- **GitHub MCP**: Repository management with AI assistance
- **Database MCP**: Data operations with intelligent queries
- **Custom Services**: Easy integration of any MCP service

## Installation

### Prerequisites

1. **Node.js 18+** and npm
2. **Ollama** with Llama model installed
3. **Claude Desktop** (for MCP client)
4. **MCP Services** you want to connect (e.g., Stripe MCP)

### Quick Start

```bash
# Clone the repository
git clone https://github.com/yobieben/llama-maverick-hub-mcp.git
cd llama-maverick-hub-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Configure services (edit config.json)
cp config.example.json config.json

# Start the hub server
npm start
```

### Installing Ollama and Llama

```bash
# Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh

# Pull Llama model
ollama pull llama3.2

# Verify installation
ollama list
```

## Configuration

### Basic Configuration (config.json)

```json
{
  "hub": {
    "name": "llama-maverick-hub",
    "version": "0.2.0",
    "port": 8080,
    "logLevel": "info"
  },
  "llama": {
    "model": "llama3.2",
    "baseUrl": "http://localhost:11434",
    "contextWindow": 8192,
    "defaultTemperature": 0.7
  },
  "services": [
    {
      "id": "stripe",
      "name": "Stripe MCP",
      "description": "Stripe payment processing",
      "transport": "stdio",
      "endpoint": "stripe-mcp",
      "enabled": true,
      "command": "npx",
      "args": ["-y", "@stripe/mcp-server"],
      "reconnectPolicy": {
        "maxRetries": 5,
        "retryDelayMs": 5000,
        "backoffMultiplier": 2
      }
    },
    {
      "id": "github",
      "name": "GitHub MCP",
      "description": "GitHub repository management",
      "transport": "stdio",
      "endpoint": "github-mcp",
      "enabled": true,
      "command": "github-mcp-server",
      "args": ["--token", "${GITHUB_TOKEN}"]
    }
  ],
  "orchestration": {
    "maxConcurrentOperations": 10,
    "defaultTimeout": 30000,
    "retryPolicy": {
      "maxRetries": 3,
      "retryDelayMs": 1000
    }
  }
}
```

### Claude Desktop Configuration

Add to your Claude Desktop config:

```json
{
  "mcpServers": {
    "llama-hub": {
      "command": "node",
      "args": ["/path/to/llama-maverick-hub-mcp/dist/index.js"],
      "env": {
        "LLAMA_HUB_LOG_LEVEL": "info",
        "STRIPE_API_KEY": "your_stripe_key",
        "GITHUB_TOKEN": "your_github_token"
      }
    }
  }
}
```

### Environment Variables

```bash
# Hub Configuration
LLAMA_HUB_NAME=llama-maverick-hub
LLAMA_HUB_PORT=8080
LLAMA_HUB_LOG_LEVEL=debug

# Llama Configuration
LLAMA_HUB_LLAMA_MODEL=llama3.2
LLAMA_HUB_LLAMA_BASE_URL=http://localhost:11434

# Service Configuration
LLAMA_HUB_SERVICE_STRIPE_ENABLED=true
LLAMA_HUB_SERVICE_STRIPE_COMMAND=npx
LLAMA_HUB_SERVICE_GITHUB_ENABLED=true

# Security
LLAMA_HUB_ENABLE_AUTH=false
LLAMA_HUB_API_KEYS=key1,key2
```

## Usage Examples

### Basic Tool Execution

When you interact with Claude Desktop, you can now access tools from all connected services:

```
User: "Create a new Stripe customer and set up a subscription"

Claude uses: stripe_create_customer, stripe_create_subscription
Hub routes to: Stripe MCP service
Llama assists: Validates data, handles errors
```

### Intelligent Routing

```
User: "Process a payment for this customer"

Llama analyzes:
- Customer location
- Payment amount
- Risk factors

Llama decides:
- Route to Stripe for low-risk
- Route to fraud service for high-risk
- Use alternative processor for specific regions
```

### Multi-Service Workflows

```
User: "Onboard a new customer with payment"

Hub executes workflow:
1. Create Stripe customer
2. Set up payment method
3. Create subscription
4. Store in database
5. Send welcome email
6. Update analytics

All orchestrated by Llama Maverick!
```

### Parallel Service Queries

```
User: "Get customer information from all systems"

Hub queries simultaneously:
- Stripe for payment data
- Database for profile
- Analytics for behavior
- Support for tickets

Llama synthesizes comprehensive report
```

## Advanced Features

### Custom Workflows

Create complex multi-service workflows:

```typescript
orchestrator.registerWorkflow({
  id: 'customer-lifecycle',
  name: 'Complete Customer Lifecycle',
  description: 'Onboard, activate, and monitor customer',
  steps: [
    {
      id: 'stripe-setup',
      service: 'stripe',
      tool: 'create_customer',
      arguments: { /* ... */ }
    },
    {
      id: 'database-store',
      service: 'database',
      tool: 'insert_record',
      arguments: { /* ... */ },
      dependsOn: ['stripe-setup']
    },
    {
      id: 'email-welcome',
      service: 'email',
      tool: 'send_email',
      arguments: { /* ... */ },
      dependsOn: ['database-store']
    }
  ]
});
```

### AI-Powered Decision Making

Llama Maverick makes intelligent decisions:

```typescript
// Llama analyzes request and determines best approach
const routing = await llamaService.analyzeRouting(
  userRequest,
  availableServices
);

// Llama plans multi-step workflow
const workflow = await llamaService.planWorkflow(
  goal,
  services,
  tools
);

// Llama synthesizes results from multiple sources
const summary = await llamaService.synthesizeResults(
  serviceResults,
  originalRequest
);
```

### Service Health Monitoring

Automatic failover and recovery:

```typescript
// Registry tracks service health
registry.on('service:unhealthy', (service) => {
  // Llama determines fallback strategy
  const fallback = llamaService.determineFallback(service);
  
  // Route to alternative service
  orchestrator.reroute(service, fallback);
});
```

## Real-World Use Cases

### 1. E-Commerce Platform

```
Workflow: Complete Order Processing
- Validate inventory (Database MCP)
- Process payment (Stripe MCP)
- Update inventory (Database MCP)
- Create shipping label (Shipping MCP)
- Send confirmation (Email MCP)
- Update analytics (Analytics MCP)
```

### 2. SaaS Subscription Management

```
Workflow: Subscription Lifecycle
- Create customer (Stripe MCP)
- Provision resources (Cloud MCP)
- Set up monitoring (Monitoring MCP)
- Configure billing (Stripe MCP)
- Send onboarding (Email MCP)
```

### 3. Financial Services

```
Workflow: Loan Application
- Credit check (Credit MCP)
- Risk assessment (Risk MCP)
- Document verification (Document MCP)
- Approval workflow (Workflow MCP)
- Fund disbursement (Banking MCP)
```

### 4. Developer Tools

```
Workflow: CI/CD Pipeline
- Code analysis (GitHub MCP)
- Run tests (Testing MCP)
- Build artifacts (Build MCP)
- Deploy to cloud (Cloud MCP)
- Update monitoring (Monitoring MCP)
```

## API Reference

### Hub Tools

#### hub_execute_workflow
Execute a predefined multi-service workflow.

```json
{
  "name": "hub_execute_workflow",
  "arguments": {
    "workflowId": "customer-onboarding",
    "parameters": {
      "email": "customer@example.com",
      "plan": "premium"
    }
  }
}
```

#### hub_smart_route
Use Llama AI to intelligently route requests.

```json
{
  "name": "hub_smart_route",
  "arguments": {
    "query": "Process payment for high-risk customer",
    "context": {
      "amount": 1000,
      "currency": "USD",
      "risk_score": 85
    }
  }
}
```

#### hub_parallel_query
Query multiple services in parallel.

```json
{
  "name": "hub_parallel_query",
  "arguments": {
    "services": ["stripe", "database", "analytics"],
    "query": "Get customer profile"
  }
}
```

### Service Tools

All tools from connected services are available with service prefix:

- `stripe_create_customer`
- `stripe_create_charge`
- `github_create_repo`
- `github_create_issue`
- `database_query`
- `database_insert`

## Development

### Project Structure

```
llama-maverick-hub-mcp/
├── src/
│   ├── index.ts                 # Main server entry point
│   ├── orchestrator/
│   │   └── hub-orchestrator.ts  # Core orchestration logic
│   ├── registry/
│   │   └── service-registry.ts  # Service management
│   ├── clients/
│   │   └── mcp-client-manager.ts # MCP client connections
│   ├── services/
│   │   └── llama-service.ts     # Llama AI integration
│   ├── config/
│   │   └── config-manager.ts    # Configuration management
│   └── integrations/
│       └── stripe-integration.ts # Stripe-specific workflows
├── config.json                   # Hub configuration
├── package.json                  # Node.js dependencies
├── tsconfig.json                 # TypeScript configuration
└── README.md                     # This file
```

### Adding New Services

1. **Define Service Configuration**:
```json
{
  "id": "myservice",
  "name": "My Service MCP",
  "transport": "stdio",
  "command": "my-service-mcp",
  "enabled": true
}
```

2. **Create Integration Module** (optional):
```typescript
export class MyServiceIntegration {
  registerWorkflows() {
    // Define service-specific workflows
  }
}
```

3. **Register with Hub**:
```typescript
const integration = new MyServiceIntegration(orchestrator);
integration.registerWorkflows();
```

### Testing

```bash
# Run tests
npm test

# Run specific test
npm test -- --grep "orchestrator"

# Test with coverage
npm run test:coverage
```

### Debugging

Enable debug logging:

```bash
export LLAMA_HUB_LOG_LEVEL=debug
npm start
```

View service connections:

```bash
# Check service status
curl http://localhost:8080/status

# View service registry
curl http://localhost:8080/services
```

## Monitoring

### Metrics

The hub exposes metrics for monitoring:

- Service availability
- Request latency
- Workflow execution time
- Error rates
- Llama inference time

### Health Checks

```bash
# Hub health
curl http://localhost:8080/health

# Service health
curl http://localhost:8080/health/stripe
```

### Logging

Structured logging with Winston:

```typescript
logger.info('Workflow executed', {
  workflowId: 'customer-onboarding',
  duration: 1234,
  steps: 6,
  success: true
});
```

## Troubleshooting

### Common Issues

#### Llama Connection Failed
```
Error: Failed to connect to Ollama
Solution: Ensure Ollama is running: ollama serve
```

#### Service Not Connecting
```
Error: Failed to connect to service: stripe
Solution: Check service command and arguments in config
```

#### Workflow Timeout
```
Error: Workflow execution timeout
Solution: Increase timeout in orchestration config
```

### Debug Mode

Enable verbose logging:

```typescript
// In code
logger.level = 'debug';

// Via environment
LLAMA_HUB_LOG_LEVEL=debug npm start
```

## Security

### Best Practices

1. **API Key Management**: Use environment variables for sensitive keys
2. **Service Isolation**: Run services in separate processes
3. **Rate Limiting**: Configure per-service rate limits
4. **Audit Logging**: Log all workflow executions
5. **Error Handling**: Never expose internal errors to clients

### Authentication

Enable authentication in config:

```json
{
  "security": {
    "enableAuth": true,
    "apiKeys": ["key1", "key2"]
  }
}
```

## Performance

### Optimization Tips

1. **Cache Service Discoveries**: Reduce repeated capability queries
2. **Parallel Execution**: Use `hub_parallel_query` for multi-service operations
3. **Connection Pooling**: Reuse MCP client connections
4. **Workflow Optimization**: Minimize step dependencies
5. **Llama Tuning**: Adjust temperature for faster inference

### Benchmarks

Typical performance metrics:

- Service connection: < 100ms
- Tool execution: < 500ms
- Workflow step: < 1s
- Llama inference: < 2s
- Full workflow: < 10s

## Contributing

We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

### Areas for Contribution

- New service integrations
- Workflow templates
- Performance optimizations
- Documentation improvements
- Test coverage

## License

MIT License - see [LICENSE](LICENSE) file

## Support

- **Issues**: [GitHub Issues](https://github.com/yobieben/llama-maverick-hub-mcp/issues)
- **Discussions**: [GitHub Discussions](https://github.com/yobieben/llama-maverick-hub-mcp/discussions)
- **Email**: yobie.benjamin@example.com

## Acknowledgments

- Anthropic for the MCP protocol
- Meta for Llama models
- Ollama for local model hosting
- Stripe for payment MCP example
- The open-source community

---

**Built with ❤️ by Yobie Benjamin**  
*Orchestrating the future of AI-driven service integration*