feat: integrate MCP servers into Docker Compose files for development and deployment

- Added `mcp-llm-gateway` and `mcp-knowledge-base` services to `docker-compose.dev.yml`, `docker-compose.deploy.yml`, and `docker-compose.yml` for AI agent capabilities.
- Configured health checks, environment variables, and dependencies for MCP services.
- Included updated resource limits and deployment settings for production environments.
- Connected backend and agent services to the MCP servers.
This commit is contained in:
2026-01-05 00:49:10 +01:00
parent 81e1456631
commit db12937495
3 changed files with 256 additions and 0 deletions

View File

@@ -48,6 +48,80 @@ services:
- app-network
restart: unless-stopped
# ==========================================================================
# MCP Servers - Model Context Protocol servers for AI agent capabilities
# ==========================================================================
mcp-llm-gateway:
# REPLACE THIS with your actual image from your container registry
image: YOUR_REGISTRY/YOUR_PROJECT_MCP_LLM_GATEWAY:latest
env_file:
- .env
environment:
- LLM_GATEWAY_HOST=0.0.0.0
- LLM_GATEWAY_PORT=8001
- REDIS_URL=redis://redis:6379/1
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ENVIRONMENT=production
depends_on:
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8001/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- app-network
restart: unless-stopped
deploy:
resources:
limits:
cpus: '2.0'
memory: 2G
reservations:
cpus: '0.5'
memory: 512M
mcp-knowledge-base:
# REPLACE THIS with your actual image from your container registry
image: YOUR_REGISTRY/YOUR_PROJECT_MCP_KNOWLEDGE_BASE:latest
env_file:
- .env
environment:
# KB_ prefix required by pydantic-settings config
- KB_HOST=0.0.0.0
- KB_PORT=8002
- KB_DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}
- KB_REDIS_URL=redis://redis:6379/2
- KB_LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ENVIRONMENT=production
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8002/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- app-network
restart: unless-stopped
deploy:
resources:
limits:
cpus: '1.0'
memory: 1G
reservations:
cpus: '0.25'
memory: 256M
backend:
# REPLACE THIS with your actual image from your container registry
# Examples:
@@ -64,11 +138,18 @@ services:
- DEBUG=false
- BACKEND_CORS_ORIGINS=${BACKEND_CORS_ORIGINS}
- REDIS_URL=redis://redis:6379/0
# MCP Server URLs
- LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
mcp-llm-gateway:
condition: service_healthy
mcp-knowledge-base:
condition: service_healthy
networks:
- app-network
restart: unless-stopped
@@ -92,11 +173,18 @@ services:
- DATABASE_URL=${DATABASE_URL}
- REDIS_URL=redis://redis:6379/0
- CELERY_QUEUE=agent
# MCP Server URLs (agents need access to MCP)
- LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
mcp-llm-gateway:
condition: service_healthy
mcp-knowledge-base:
condition: service_healthy
networks:
- app-network
restart: unless-stopped

View File

@@ -32,6 +32,70 @@ services:
networks:
- app-network
# ==========================================================================
# MCP Servers - Model Context Protocol servers for AI agent capabilities
# ==========================================================================
mcp-llm-gateway:
build:
context: ./mcp-servers/llm-gateway
dockerfile: Dockerfile
ports:
- "8001:8001"
env_file:
- .env
environment:
- LLM_GATEWAY_HOST=0.0.0.0
- LLM_GATEWAY_PORT=8001
- REDIS_URL=redis://redis:6379/1
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ENVIRONMENT=development
depends_on:
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8001/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- app-network
restart: unless-stopped
mcp-knowledge-base:
build:
context: ./mcp-servers/knowledge-base
dockerfile: Dockerfile
ports:
- "8002:8002"
env_file:
- .env
environment:
# KB_ prefix required by pydantic-settings config
- KB_HOST=0.0.0.0
- KB_PORT=8002
- KB_DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}
- KB_REDIS_URL=redis://redis:6379/2
- KB_LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ENVIRONMENT=development
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8002/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- app-network
restart: unless-stopped
backend:
build:
context: ./backend
@@ -52,11 +116,18 @@ services:
- DEBUG=true
- BACKEND_CORS_ORIGINS=${BACKEND_CORS_ORIGINS}
- REDIS_URL=redis://redis:6379/0
# MCP Server URLs
- LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
mcp-llm-gateway:
condition: service_healthy
mcp-knowledge-base:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 10s
@@ -81,11 +152,18 @@ services:
- DATABASE_URL=${DATABASE_URL}
- REDIS_URL=redis://redis:6379/0
- CELERY_QUEUE=agent
# MCP Server URLs (agents need access to MCP)
- LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
mcp-llm-gateway:
condition: service_healthy
mcp-knowledge-base:
condition: service_healthy
networks:
- app-network
command: ["celery", "-A", "app.celery_app", "worker", "-Q", "agent", "-l", "info", "-c", "4"]

View File

@@ -32,6 +32,82 @@ services:
- app-network
restart: unless-stopped
# ==========================================================================
# MCP Servers - Model Context Protocol servers for AI agent capabilities
# ==========================================================================
mcp-llm-gateway:
build:
context: ./mcp-servers/llm-gateway
dockerfile: Dockerfile
env_file:
- .env
environment:
- LLM_GATEWAY_HOST=0.0.0.0
- LLM_GATEWAY_PORT=8001
- REDIS_URL=redis://redis:6379/1
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ENVIRONMENT=production
depends_on:
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8001/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- app-network
restart: unless-stopped
deploy:
resources:
limits:
cpus: '2.0'
memory: 2G
reservations:
cpus: '0.5'
memory: 512M
mcp-knowledge-base:
build:
context: ./mcp-servers/knowledge-base
dockerfile: Dockerfile
env_file:
- .env
environment:
# KB_ prefix required by pydantic-settings config
- KB_HOST=0.0.0.0
- KB_PORT=8002
- KB_DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}
- KB_REDIS_URL=redis://redis:6379/2
- KB_LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ENVIRONMENT=production
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8002/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- app-network
restart: unless-stopped
deploy:
resources:
limits:
cpus: '1.0'
memory: 1G
reservations:
cpus: '0.25'
memory: 256M
backend:
build:
context: ./backend
@@ -48,11 +124,18 @@ services:
- DEBUG=false
- BACKEND_CORS_ORIGINS=${BACKEND_CORS_ORIGINS}
- REDIS_URL=redis://redis:6379/0
# MCP Server URLs
- LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
mcp-llm-gateway:
condition: service_healthy
mcp-knowledge-base:
condition: service_healthy
networks:
- app-network
restart: unless-stopped
@@ -75,11 +158,18 @@ services:
- DATABASE_URL=${DATABASE_URL}
- REDIS_URL=redis://redis:6379/0
- CELERY_QUEUE=agent
# MCP Server URLs (agents need access to MCP)
- LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
- KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
mcp-llm-gateway:
condition: service_healthy
mcp-knowledge-base:
condition: service_healthy
networks:
- app-network
restart: unless-stopped