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
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"aws_bedrock_logs": {
"command": "uv",
"args": [
"--directory",
"/path/to/aws-bedrock-logs-mcp",
"run",
"cloudwatch_mcp_server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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