# Set TRANSPORT=sse in .env then:
python3 src/main.py

docker build -t task-manager-mcp .
docker run --env-file .env -p 8050:8050 task-manager-mcp

await mcp.create_task_file(project_name="my-project")

await mcp.add_task(
    project_name="my-project",
    title="Setup Development Environment",
    description="Configure the development environment with required tools",
    subtasks=[
        "Install dependencies",
        "Configure linters",
        "Set up testing framework"
    ]
)

await mcp.parse_prd(
    project_name="my-project",
    prd_content="# Your PRD content..."
)

await mcp.update_task_status(
    project_name="my-project",
    task_title="Setup Development Environment",
    subtask_title="Install dependencies",
    status="done"
)

next_task = await mcp.get_next_task(project_name="my-project")

await mcp.expand_task(
    project_name="my-project",
    task_title="Implement Authentication"
)

await mcp.generate_task_file(
    project_name="my-project",
    task_title="User Authentication"
)

complexity = await mcp.estimate_task_complexity(
    project_name="my-project",
    task_title="User Authentication"
)

suggestions = await mcp.suggest_next_actions(
    project_name="my-project",
    task_title="User Authentication"
)

{
  "mcpServers": {
    "task-manager": {
      "transport": "sse",
      "url": "http://localhost:8050/sse"
    }
  }
}

{
  "mcpServers": {
    "task-manager": {
      "command": "python3",
      "args": ["src/main.py"],
      "env": {
        "TRANSPORT": "stdio",
        "LLM_PROVIDER": "openai",
        "LLM_API_KEY": "YOUR-API-KEY",
        "LLM_CHOICE": "gpt-4"
      }
    }
  }
}