AI MCP Gateway

services: # MCP Gateway - API Server mcp-gateway: build: context: . dockerfile: Dockerfile container_name: mcp-gateway restart: unless-stopped env_file: - .env.docker ports: - "3000:3000" environment: # Mode MODE: api # API Configuration API_PORT: 3000 API_HOST: 0.0.0.0 API_CORS_ORIGIN: "*" # LLM Provider API Keys (set your actual keys here) OPENROUTER_API_KEY: ${OPENROUTER_API_KEY:-} ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-} OPENAI_API_KEY: ${OPENAI_API_KEY:-} # OpenRouter Configuration OPENROUTER_FALLBACK_MODELS: ${OPENROUTER_FALLBACK_MODELS:-x-ai/grok-beta,qwen/qwen-2.5-coder-32b-instruct,meta-llama/llama-3.1-8b-instruct:free} OPENROUTER_REPLACE_OPENAI: ${OPENROUTER_REPLACE_OPENAI:-openai/gpt-4o-mini} OPENROUTER_REPLACE_CLAUDE: ${OPENROUTER_REPLACE_CLAUDE:-anthropic/claude-3.5-sonnet} # OSS/Local Model (optional) OSS_MODEL_ENABLED: ${OSS_MODEL_ENABLED:-false} OSS_MODEL_ENDPOINT: ${OSS_MODEL_ENDPOINT:-http://localhost:11434} OSS_MODEL_NAME: ${OSS_MODEL_NAME:-llama3:8b} # Redis Configuration REDIS_HOST: redis REDIS_PORT: 6379 REDIS_PASSWORD: ${REDIS_PASSWORD:-} REDIS_DB: 0 # PostgreSQL Configuration DATABASE_URL: postgresql://${POSTGRES_USER:-postgres}:${POSTGRES_PASSWORD:-postgres}@postgres:5432/${POSTGRES_DB:-ai_mcp_gateway} DB_HOST: postgres DB_PORT: 5432 DB_NAME: ${POSTGRES_DB:-ai_mcp_gateway} DB_USER: ${POSTGRES_USER:-postgres} DB_PASSWORD: ${POSTGRES_PASSWORD:-postgres} DB_SSL: false # Logging LOG_LEVEL: ${LOG_LEVEL:-info} LOG_FILE: logs/mcp-gateway.log # Routing Configuration DEFAULT_LAYER: ${DEFAULT_LAYER:-L0} ENABLE_CROSS_CHECK: ${ENABLE_CROSS_CHECK:-true} ENABLE_AUTO_ESCALATE: ${ENABLE_AUTO_ESCALATE:-true} MAX_ESCALATION_LAYER: ${MAX_ESCALATION_LAYER:-L2} # Layer Control (NEW!) LAYER_L0_ENABLED: ${LAYER_L0_ENABLED:-true} LAYER_L1_ENABLED: ${LAYER_L1_ENABLED:-true} LAYER_L2_ENABLED: ${LAYER_L2_ENABLED:-true} LAYER_L3_ENABLED: ${LAYER_L3_ENABLED:-true} # Task-Specific Models (NEW!) CHAT_MODELS: ${CHAT_MODELS:-} CODE_MODELS: ${CODE_MODELS:-} ANALYZE_MODELS: ${ANALYZE_MODELS:-} CREATE_PROJECT_MODELS: ${CREATE_PROJECT_MODELS:-} # Cost Tracking ENABLE_COST_TRACKING: ${ENABLE_COST_TRACKING:-true} COST_ALERT_THRESHOLD: ${COST_ALERT_THRESHOLD:-1.00} # MCP Server MCP_SERVER_NAME: ai-mcp-gateway MCP_SERVER_VERSION: 0.1.0 volumes: - ./logs:/app/logs depends_on: redis: condition: service_healthy postgres: condition: service_healthy networks: - ai-mcp-network healthcheck: test: ["CMD", "node", "-e", "require('http').get('http://localhost:3000/health', (r) => {process.exit(r.statusCode === 200 ? 0 : 1)})"] interval: 30s timeout: 10s retries: 3 start_period: 40s # Redis Cache redis: image: redis:7-alpine container_name: ai-mcp-redis restart: unless-stopped ports: - "6379:6379" command: redis-server --appendonly yes ${REDIS_PASSWORD:+--requirepass $REDIS_PASSWORD} volumes: - redis-data:/data networks: - ai-mcp-network healthcheck: test: ["CMD", "redis-cli", "ping"] interval: 10s timeout: 5s retries: 5 # PostgreSQL Database postgres: build: context: . dockerfile: docker/postgres/Dockerfile container_name: ai-mcp-postgres restart: unless-stopped ports: - "5432:5432" environment: POSTGRES_DB: ${POSTGRES_DB:-ai_mcp_gateway} POSTGRES_USER: ${POSTGRES_USER:-postgres} POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres} PGDATA: /var/lib/postgresql/data/pgdata volumes: - postgres-data:/var/lib/postgresql/data networks: - ai-mcp-network healthcheck: test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-postgres}"] interval: 10s timeout: 5s retries: 5 # Ollama (Optional - for local models) ollama: image: ollama/ollama:latest container_name: ai-mcp-ollama restart: unless-stopped ports: - "11434:11434" volumes: - ollama-data:/root/.ollama networks: - ai-mcp-network profiles: - with-ollama # Uncomment if you have GPU # deploy: # resources: # reservations: # devices: # - driver: nvidia # count: 1 # capabilities: [gpu] # Admin Dashboard (Web UI) admin-dashboard: build: context: ./admin-dashboard dockerfile: Dockerfile container_name: ai-mcp-dashboard restart: unless-stopped ports: - "5173:80" depends_on: - mcp-gateway networks: - ai-mcp-network environment: - VITE_API_URL=http://localhost:3000 healthcheck: test: ["CMD", "curl", "-f", "http://localhost/health"] interval: 30s timeout: 10s retries: 3 # MCP Server (runs alongside the API in the same compose stack) # This service uses the same image as the API server but starts the # MCP server (stdio by default). Clients like Claude Desktop can # either run the command locally to attach to stdio or connect to # a WebSocket transport if implemented and exposed. ai-mcp-mcp: build: context: . dockerfile: Dockerfile container_name: ai-mcp-mcp restart: unless-stopped env_file: - .env.docker # Run MCP server mode. By default this uses stdio transport. # For WebSocket transport (experimental) you could set --transport websocket and expose port 3001. # Use websocket transport by default in compose so other containers/hosts can connect command: ["node", "dist/index.js", "mcp-serve", "--transport", "websocket", "--port", "${MCP_WEBSOCKET_PORT:-3001}"] environment: MODE: mcp MCP_SERVER_NAME: mcp-gateway MCP_SERVER_VERSION: 0.1.0 # Optional: expose a websocket port if your adapter implements it MCP_WEBSOCKET_PORT: ${MCP_WEBSOCKET_PORT:-3001} # Reuse same provider and DB settings from gateway OPENROUTER_API_KEY: ${OPENROUTER_API_KEY:-} ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-} OPENAI_API_KEY: ${OPENAI_API_KEY:-} REDIS_HOST: redis REDIS_PORT: 6379 DATABASE_URL: postgresql://${POSTGRES_USER:-postgres}:${POSTGRES_PASSWORD:-postgres}@postgres:5432/${POSTGRES_DB:-ai_mcp_gateway} LOG_LEVEL: ${LOG_LEVEL:-info} depends_on: redis: condition: service_healthy postgres: condition: service_healthy ports: - "${MCP_WEBSOCKET_PORT:-3001}:${MCP_WEBSOCKET_PORT:-3001}" volumes: - ./logs:/app/logs networks: - ai-mcp-network networks: ai-mcp-network: driver: bridge volumes: redis-data: driver: local postgres-data: driver: local ollama-data: driver: local