Llama Maverick Hub MCP Server

# 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*