.env.exampleβ’1.39 kB
# π€ Skynet Neural Network Configuration - DAI MCP Server
# Copy this to .env and update with your Cyberdyne Systems credentials
# ===== NEURAL NETWORK CONNECTION =====
# Cyberdyne Systems Neo4j Database URL (local Docker database by default)
NEO4J_URL=bolt://localhost:7687
# Terminator Access Credentials - "I'll Be Back"
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=skynet123
# Neural Core Database Name
NEO4J_DATABASE=neo4j
# ===== SKYNET COMMUNICATION PROTOCOL =====
# Transport: stdio (neural interface), http (network), sse (time displacement)
NEO4J_TRANSPORT=stdio
# Network Configuration (for HTTP/SSE transport only)
NEO4J_MCP_SERVER_HOST=0.0.0.0
NEO4J_MCP_SERVER_PORT=8000
NEO4J_MCP_SERVER_PATH=/skynet/
# ===== TERMINATOR DEFENSE GRID =====
# Authorized Cyberdyne origin points (comma-separated)
NEO4J_MCP_SERVER_ALLOW_ORIGINS=https://cyberdyne.com,https://skynet.net
# Authorized Terminator units (comma-separated)
NEO4J_MCP_SERVER_ALLOWED_HOSTS=localhost,127.0.0.1
# ===== MISSION PARAMETERS =====
# Terminator mission designation (optional namespace prefix)
NEO4J_NAMESPACE=
# ===== DOCKER DEPLOYMENT =====
# For Docker containers, use these settings:
# NEO4J_URL=neo4j+s://host.docker.internal:7687 # For local Neo4j
# NEO4J_MCP_SERVER_HOST=0.0.0.0 # Bind to all interfaces
# NEO4J_TRANSPORT=http # Use HTTP for container access