list_supported_models

Retrieve a list of supported AWS Bedrock model IDs for PowerPoint presentation translations, ensuring compatibility with the translation service.

Instructions

List all supported AWS Bedrock models for translation.

Returns: List of supported model IDs

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Implementation Reference

mcp_server.py:376-388 (handler)

The handler function that implements the list_supported_models tool. It is registered via the @mcp.tool() decorator and returns a formatted list of supported AWS Bedrock models from Config.SUPPORTED_MODELS.

@mcp.tool()
def list_supported_models() -> str:
    """
    List all supported AWS Bedrock models for translation.
    
    Returns:
        List of supported model IDs
    """
    models_text = "🤖 Supported AWS Bedrock models:\n\n"
    for model in Config.SUPPORTED_MODELS:
        models_text += f"• {model}\n"
    
    return models_text

ppt_translator/config.py:61-114 (helper)

The SUPPORTED_MODELS class attribute in Config, which provides the list of AWS Bedrock models returned by the list_supported_models tool.

SUPPORTED_MODELS = [
    # Amazon Nova models
    "amazon.nova-micro-v1:0",
    "amazon.nova-lite-v1:0", 
    "amazon.nova-pro-v1:0",
    "amazon.nova-premier-v1:0",
    
    # Anthropic Claude models
    "anthropic.claude-3-sonnet-20240229-v1:0",
    "anthropic.claude-3-haiku-20240307-v1:0",
    "anthropic.claude-3-5-sonnet-20240620-v1:0",
    "anthropic.claude-3-5-sonnet-20241022-v2:0",
    "anthropic.claude-3-5-haiku-20241022-v1:0",
    "us.anthropic.claude-3-5-sonnet-20240620-v1:0",
    "us.anthropic.claude-3-5-sonnet-20241022-v2:0",
    "us.anthropic.claude-3-5-haiku-20241022-v1:0",
    "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
    "us.anthropic.claude-opus-4-20250514-v1:0",
    "us.anthropic.claude-sonnet-4-20250514-v1:0",
    "us.anthropic.claude-opus-4-1-20250805-v1:0",

    # Meta Llama models
    "meta.llama3-8b-instruct-v1:0",
    "meta.llama3-70b-instruct-v1:0",
    "us.meta.llama3-1-8b-instruct-v1:0",
    "us.meta.llama3-1-70b-instruct-v1:0",
    "us.meta.llama3-2-1b-instruct-v1:0",
    "us.meta.llama3-2-3b-instruct-v1:0",
    "us.meta.llama3-2-11b-instruct-v1:0",
    "us.meta.llama3-2-90b-instruct-v1:0",
    "us.meta.llama3-3-70b-instruct-v1:0",
    "us.meta.llama4-scout-17b-instruct-v1:0",
    "us.meta.llama4-maverick-17b-instruct-v1:0",
    
    # DeepSeek models 
    "deepseek.r1-v1:0",
    "us.deepseek.r1-v1:0",        
    
    # Mistral models
    "mistral.mistral-7b-instruct-v0:2",
    "mistral.mixtral-8x7b-instruct-v0:1",
    "mistral.mistral-large-2402-v1:0",
    "mistral.mistral-small-2402-v1:0",
    "mistral.pixtral-large-2502-v1:0",
    
    # Cohere models
    "cohere.command-r-v1:0",
    "cohere.command-r-plus-v1:0",
    
    # AI21 models 
    "ai21.jamba-1-5-large-v1:0",
    "ai21.jamba-1-5-mini-v1:0",
    "ai21.jamba-instruct-v1:0",
]

mcp_server.py:376-388 (registration)

The @mcp.tool() decorator registers the list_supported_models function as an MCP tool.

@mcp.tool()
def list_supported_models() -> str:
    """
    List all supported AWS Bedrock models for translation.
    
    Returns:
        List of supported model IDs
    """
    models_text = "🤖 Supported AWS Bedrock models:\n\n"
    for model in Config.SUPPORTED_MODELS:
        models_text += f"• {model}\n"
    
    return models_text

PowerPoint Translator