Skip to main content
Glama
docker-compose.yml1.68 kB
version: '3.8' services: # PostgreSQL with pgvector for production deployment postgres: image: pgvector/pgvector:pg16 environment: POSTGRES_DB: mcp_pa POSTGRES_USER: mcp_user POSTGRES_PASSWORD: mcp_password volumes: - postgres_data:/var/lib/postgresql/data - ./init-db.sql:/docker-entrypoint-initdb.d/init-db.sql ports: - "5432:5432" healthcheck: test: ["CMD-SHELL", "pg_isready -U mcp_user -d mcp_pa"] interval: 10s timeout: 5s retries: 5 # Redis for caching and session management redis: image: redis:7-alpine volumes: - redis_data:/data ports: - "6379:6379" healthcheck: test: ["CMD", "redis-cli", "ping"] interval: 10s timeout: 3s retries: 5 # MCP Personal Assistant HTTP Server mcp-server: build: context: . dockerfile: Dockerfile environment: - ENVIRONMENT=production - DATABASE_URL=postgresql://mcp_user:mcp_password@postgres:5432/mcp_pa - REDIS_URL=redis://redis:6379 - VECTOR_SEARCH_ENABLED=true - EMBEDDING_PROVIDER=local - AUTH_ENABLED=false # Set to true with proper OAuth config for production - SERVER_HOST=0.0.0.0 - SERVER_PORT=8000 - LOG_LEVEL=INFO ports: - "8000:8000" depends_on: postgres: condition: service_healthy redis: condition: service_healthy volumes: - ./data:/app/data restart: unless-stopped healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8000/health"] interval: 30s timeout: 10s retries: 3 volumes: postgres_data: redis_data:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/swapnilsurdi/mcp-pa'

If you have feedback or need assistance with the MCP directory API, please join our Discord server