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CloudWatch Logs MCP 服务器

by serkanh

提供访问 AWS CloudWatch 日志的工具的 MCP 服务器，允许 AI 助手列出日志组并读取日志条目。需要通过环境变量 AWS_ACCESS_KEY_ID 和 AWS_SECRET_ACCESS_KEY 配置 AWS 凭据。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-07

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Overview

The CloudWatch Logs MCP 服务器 MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the CloudWatch Logs MCP 服务器 repository to read the latest documentation.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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CloudWatch Logs MCP Server

An MCP (Model Context Protocol) server that provides tools for accessing AWS CloudWatch logs. This server allows AI assistants to list log groups and read log entries from AWS CloudWatch.

Available Tools

list_groups

Lists available CloudWatch log groups.

Parameters:

  • prefix (optional): Log group name prefix
  • region (optional): AWS region
  • accessKeyId (optional): AWS access key ID
  • secretAccessKey (optional): AWS secret access key
  • sessionToken (optional): AWS session token

Returns: JSON string with the list of log groups, including logGroupName, creationTime, and storedBytes.

get_logs

Gets CloudWatch logs from a specific log group.

Parameters:

  • logGroupName (required): The name of the log group
  • logStreamName (optional): The name of the log stream
  • startTime (optional): Start time in ISO format or relative time (e.g., "5m", "1h", "1d")
  • endTime (optional): End time in ISO format
  • filterPattern (optional): Filter pattern for the logs
  • region (optional): AWS region
  • accessKeyId (optional): AWS access key ID
  • secretAccessKey (optional): AWS secret access key
  • sessionToken (optional): AWS session token

Returns: JSON string with the log events, including timestamp, message, and logStreamName.

Setup

AWS Credentials

Ensure you have AWS credentials configured. You can set them up using the AWS CLI or by setting environment variables:

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY

Usage with Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "cloudwatch-logs": {
      "command": "python3",
      "args": ["/path/to/cloudwatch-logs-mcp/main.py"],
      "env": {
        "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY_ID>",
        "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_ACCESS_KEY>",
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Docker

If you prefer to run the server in a Docker container, you can set up a Dockerfile and use the following configuration:

{
  "mcpServers": {
    "cloudwatch-logs": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "AWS_ACCESS_KEY_ID",
        "-e",
        "AWS_SECRET_ACCESS_KEY",
        "mcp/cloudwatch-logs"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY_ID>",
        "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_ACCESS_KEY>",
      }
    }
  }
}

Implementation Details

This server is built using the FastMCP class from the MCP SDK, which provides a simple way to create MCP servers. The server exposes two main tools:

  1. list_groups: Lists available CloudWatch log groups
  2. get_logs: Reads log entries from specific log groups

Each tool is implemented as an async function decorated with @mcp.tool(). The server uses the boto3 library to interact with the AWS CloudWatch Logs API.

License

MIT