hacs-cli 0.4.3

Command-line interface for Healthcare Agent Communication Standard (HACS)

HACS CLI

Command-line interface for Healthcare Agent Communication Standard

Currently in development - use MCP server for full functionality

🚧 Development Status

The HACS CLI is under development. Current healthcare operations are available through:

1. MCP Server - 42+ Hacs Tools via JSON-RPC
2. Docker Compose - Infrastructure deployment and configuration
3. LangGraph Agent - Interactive AI workflows via examples

🚀 Current Functionality

Deployment & Setup

# Start infrastructure with Docker Compose
docker-compose up -d

# Manual MCP server startup
python -m hacs_utils.mcp.cli

# FastMCP server for streamable HTTP
python -m hacs_utils.mcp.fastmcp_server

# Environment configuration
export HACS_MCP_SERVER_URL=http://127.0.0.1:8000
export DATABASE_URL=postgresql://hacs:hacs_dev@localhost:5432/hacs

Service Management

# Docker Compose operations
docker-compose up -d              # Start all services
docker-compose down               # Stop services
docker-compose logs hacs-mcp-server  # View logs

# Health checks
curl $HACS_MCP_SERVER_URL         # MCP server
curl http://localhost:8001/       # LangGraph agent (if running)

🛠️ MCP Server Interface

All healthcare operations use the Model Context Protocol server:

# List available Hacs Tools (42 tools)
curl -X POST -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' \
  $HACS_MCP_SERVER_URL

# Create patient record
curl -X POST -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "create_resource",
      "arguments": {
        "resource_type": "Patient",
        "resource_data": {
          "full_name": "John Smith",
          "birth_date": "1980-05-15",
          "gender": "male"
        }
      }
    },
    "id": 1
  }' \
  $HACS_MCP_SERVER_URL

📋 Planned CLI Features

Future development will include:

• hacs validate - Resource validation
• hacs convert - Format conversion (HACS ↔ FHIR)
• hacs memory - Memory management commands
• hacs evidence - Evidence and knowledge operations
• hacs auth - Authentication and permissions
• hacs export - Data export utilities

🏥 Healthcare Workflows

Use Python requests for programmatic access:

import requests

def use_hacs_tool(tool_name, arguments):
    """Call HACS tools"""
    import os
    server_url = os.getenv('HACS_MCP_SERVER_URL', 'http://127.0.0.1:8000')
    response = requests.post(server_url, json={
        "jsonrpc": "2.0",
        "method": "tools/call",
        "params": {
            "name": tool_name,
            "arguments": arguments
        },
        "id": 1
    })
    return response.json()

# Clinical memory management
memory_result = use_hacs_tool("create_memory", {
    "content": "Patient shows improvement after medication adjustment",
    "memory_type": "episodic",
    "importance_score": 0.8
})

# Search clinical memories
search_result = use_hacs_tool("search_memories", {
    "query": "medication response",
    "limit": 5
})

⚙️ Configuration

Environment Setup

# Healthcare organization configuration
export HACS_ORGANIZATION="your_health_system"
export HEALTHCARE_SYSTEM_NAME="Your Health System"
export DATABASE_URL="postgresql://hacs:password@localhost:5432/hacs"

# LLM Provider (for AI operations)
export ANTHROPIC_API_KEY="sk-ant-..."  # Recommended for healthcare
export OPENAI_API_KEY="sk-..."         # Alternative

Virtual Environment

# Activate HACS environment
source .venv/bin/activate

# Check environment status
which python
pip list | grep hacs

🔍 Troubleshooting

Common Issues

# Check MCP server status
curl http://localhost:8000/

# View server logs
docker-compose logs hacs-mcp-server

# Restart services
docker-compose restart hacs-mcp-server

Health Checks

# Complete system health check
echo "📡 MCP Server:"
curl -s http://localhost:8000/ && echo "✅ Running" || echo "❌ Not responding"

echo "🗄️ PostgreSQL:"
docker-compose exec postgres pg_isready -U hacs && echo "✅ Ready" || echo "❌ Not ready"

📊 Current Tool Categories

Available via MCP server:

• 🔍 Resource Discovery & Development (5 tools)
• 📋 Record Management (8 tools)
• 🧠 Memory Management (5 tools)
• ✅ Validation & Schema (3 tools)
• 🎨 Advanced Tools (3 tools)
• 📚 Knowledge Management (1 tool)

📄 License

Apache-2.0 License - see LICENSE for details.

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For immediate healthcare AI development, use the MCP server interface - it provides complete access to all HACS functionality through a standardized protocol.