What does AWS Bedrock Logs MCP require to run?
Python 3.13+, AWS credentials with CloudWatch Logs access, and Anthropic API access for Claude integration.
@dheerajoruganty
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"aws_bedrock_logs": {
"command": "uv",
"args": [
"--directory",
"/path/to/aws-bedrock-logs-mcp",
"run",
"cloudwatch_mcp_server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A command-line interface and API for analyzing AWS Bedrock usage and logs through Anthropic's MCP (Model Control Protocol). It exposes AWS CloudWatch Logs API functionality to Claude, allowing you to query and analyze Bedrock usage data in natural language.
Install via uv, configure AWS credentials, then start the server with python cloudwatch_mcp_server.py. For Claude Desktop, add the server configuration to your mcpServers JSON block with the uv command. Four tools are exposed: get_bedrock_logs_df, get_model_usage_stats, get_user_usage_stats, and get_daily_usage_stats.
Python 3.13+, AWS credentials with CloudWatch Logs access, and Anthropic API access for Claude integration.
By default, the server uses stdio transport for communication with MCP clients.
It retrieves raw Bedrock invocation logs and aggregated statistics from AWS CloudWatch Logs via the CloudWatch Logs API. No Bedrock data is stored locally—it is queried on demand.
boto3, mcp[cli] (Anthropic’s Model Control Protocol library), pandas, and pydantic.
Yes, a Dockerfile is included in the repository for container deployments.
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