Bigeye MCP Server

services: bigeye-mcp: build: context: . dockerfile: Dockerfile image: bigeye-mcp-server:latest container_name: bigeye-mcp-server # MCP servers communicate via stdio, so we need to keep stdin open stdin_open: true tty: true environment: # Required: Bigeye API configuration - BIGEYE_API_KEY=${BIGEYE_API_KEY} - BIGEYE_BASE_URL=${BIGEYE_BASE_URL:-https://app.bigeye.com} - BIGEYE_WORKSPACE_ID=${BIGEYE_WORKSPACE_ID} # Optional: Debug mode - BIGEYE_DEBUG=${BIGEYE_DEBUG:-false} # Python environment - PYTHONUNBUFFERED=1 - PYTHONDONTWRITEBYTECODE=1 volumes: # Mount credentials directory for persistent authentication - ${HOME}/.bigeye-mcp:/home/mcp/.bigeye-mcp # Optional: Mount config.json file if you prefer file-based configuration # Uncomment the following line and ensure config.json exists in the same directory # - ./config.json:/app/config.json:ro # Optional: Mount the entire project for development # - .:/app:ro # Resource limits (adjust as needed) mem_limit: 512m cpus: '0.5' # Restart policy restart: unless-stopped # Logging configuration logging: driver: "json-file" options: max-size: "10m" max-file: "3" # Optional: Add a test service that connects to the MCP server # This demonstrates how another service might interact with the MCP server test-client: image: python:3.12-slim container_name: bigeye-mcp-test-client profiles: - test depends_on: - bigeye-mcp stdin_open: true tty: true command: | sh -c "pip install mcp && python -c 'import sys; print(\"Test client ready. Use docker-compose run test-client to interact with the MCP server.\")' && tail -f /dev/null" # Networks networks: default: name: bigeye-mcp-network