Getting Prompts

async with client:
    # Simple prompt without arguments
    result = await client.get_prompt("welcome_message")
    # result -> mcp.types.GetPromptResult

    # Access the generated messages
    for message in result.messages:
        print(f"Role: {message.role}")
        print(f"Content: {message.content}")

async with client:
    result = await client.get_prompt("user_greeting", {
        "name": "Alice",
        "role": "administrator"
    })

    for message in result.messages:
        print(f"Generated message: {message.content}")

from dataclasses import dataclass

@dataclass
class UserData:
    name: str
    age: int

async with client:
    result = await client.get_prompt("analyze_user", {
        "user": UserData(name="Alice", age=30),     # Automatically serialized
        "preferences": {"theme": "dark"},           # Dict serialized
        "scores": [85, 92, 78],                     # List serialized
        "simple_name": "Bob"                        # Strings unchanged
    })

async with client:
    result = await client.get_prompt("conversation_starter", {"topic": "climate"})

    for i, message in enumerate(result.messages):
        print(f"Message {i + 1}:")
        print(f"  Role: {message.role}")
        print(f"  Content: {message.content.text if hasattr(message.content, 'text') else message.content}")

async with client:
    result = await client.get_prompt("system_configuration", {
        "role": "helpful assistant",
        "expertise": "python programming"
    })

    # Access the returned messages
    message = result.messages[0]
    print(f"Prompt: {message.content}")

async with client:
    result = await client.get_prompt("interview_template", {
        "candidate_name": "Alice",
        "position": "Senior Developer"
    })

    # Multiple messages for a conversation flow
    for message in result.messages:
        print(f"{message.role}: {message.content}")

async with client:
    # Get the highest version (default)
    result = await client.get_prompt("summarize", {"text": "..."})

    # Get a specific version
    result_v1 = await client.get_prompt("summarize", {"text": "..."}, version="1.0")

async with client:  # Multi-server client
    result1 = await client.get_prompt("weather_prompt", {"city": "London"})
    result2 = await client.get_prompt("assistant_prompt", {"query": "help"})

async with client:
    result = await client.get_prompt_mcp("example_prompt", {"arg": "value"})
    # result -> mcp.types.GetPromptResult