禁断の（？）MCPツール`use_aws`を作ってしまいました #AWS – Qiita

簡単にですが、構築手順をご紹介します。

1. プロジェクト作成

2. ライブラリーをインストール
   MCPのSDKも勝手に入ります

   uv add strands-agents-tools
   

3. MCPサーバーの雛形を作成

   from mcp.server.fastmcp import FastMCP
   
   mcp = FastMCP("use-aws-mcp-server")
   
   def main():
       mcp.run()
   
   
   if __name__ == "__main__":
       main()
   

4. ツールの実装を追加

   strands_toolsのuse_awsをインポートして呼ぶだけっす。

   import uuid
   
   from strands_tools import use_aws as strands_tools_use_aws
   

   @mcp.tool()
   def use_aws(
       service_name: str,
       operation_name: str,
       label: str,
       region: str = None,
       parameters: dict = {},
       profile_name: str = None,
   ) -> str:
       """
       Make an AWS CLI api call with the specified service, operation, and parameters. All arguments MUST conform to the AWS CLI specification. Should the output of the invocation indicate a malformed command, invoke help to obtain the the correct command.
   
       Args:
           service_name (str): The name of the AWS service. If you want to query s3, you should use s3api if possible.
           operation_name (str): The name of the operation to perform. You should also prefer snake case.
           label (str): Human readable description of the api that is being called.
           region (str): Region name for calling the operation on AWS.
           parameters (dict): The parameters for the operation. The parameter keys MUST conform to the AWS CLI specification. You should prefer to use JSON Syntax over shorthand syntax wherever possible. For parameters that are booleans, prioritize using flags with no value. Denote these flags with flag names as key and an empty string as their value. You should also prefer kebab case.
           profile_name (str): Optional: AWS profile name to use from ~/.aws/credentials. Defaults to default profile if not specified.
       """
   
       tool_use_id = str(uuid.uuid4())[:8]
       name = "use_aws"
   
       input_dict = {
           "service_name": service_name,
           "operation_name": operation_name,
           "region": region,
           "label": label,
       }
   
       if parameters is not None:
           input_dict["parameters"] = parameters
       if profile_name is not None:
           input_dict["profile_name"] = profile_name
   
       result = strands_tools_use_aws.use_aws(
           {
               "toolUseId": tool_use_id,
               "name": name,
               "input": input_dict,
           }
       )
   
       return result["content"][0]["text"]
   
   

5. 環境変数を追加
   strands_toolsの動作仕様で、ツール実行のタイミングで標準入力に「ツール実行していいですか？（Y/N）」が表示されます。これを抑制するために、環境変数を追加します。

   os.environ["DEV"] = "true"
   

はい。こんだけです。

使い方

{
    "servers": {
        "use-aws-mcp-server": {
            "command": "uvx",
            "args": [
                "use-aws-mcp-server@latest"
            ],
            "env": {
                "AWS_REGION": "${input:aws_region}",
                "AWS_PROFILE": "${input:aws_profile}"
            }
        }
    },
    "inputs": [
        {
            "id": "aws_region",
            "type": "promptString",
            "description": "Enter the AWS region"
        },
        {
            "id": "aws_profile",
            "type": "promptString",
            "description": "Enter the AWS profile name"
        }
    ]
}