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Amazon CloudWatch Logs MCP Server

@hyorimitsu

A Model Context Protocol (MCP) server that enables AI assistants to interact with Amazon CloudWatch Logs through a standardized interface using AWS SDK.

Overview

What is Amazon CloudWatch Logs MCP Server?

A Model Context Protocol server that provides tools for interacting with Amazon CloudWatch Logs via the AWS SDK. It enables AI assistants to manage CloudWatch logs through a standardized interface. Currently under active development and not yet production-ready.

How to use Amazon CloudWatch Logs MCP Server?

Clone the repository, install dependencies with pnpm install, build with pnpm run build, then configure the server with your AWS credentials (region, access key, secret key) in your MCP client settings under the amazon-cloudwatch-logs server entry.

Key features of Amazon CloudWatch Logs MCP Server

  • Create, describe, and delete log groups
  • Create, describe, and delete log streams
  • Write log events to a log stream
  • Retrieve log events from a log stream
  • Search log events with a filter pattern across groups and streams

Use cases of Amazon CloudWatch Logs MCP Server

  • AI assistant troubleshooting by searching and retrieving log events
  • Automated log group and stream lifecycle management
  • Writing application logs into CloudWatch Logs from AI-driven workflows
  • Centralized log monitoring and filtering without manual AWS Console access

FAQ from Amazon CloudWatch Logs MCP Server

What is the purpose of this server?

It provides an MCP interface for AI assistants to perform CloudWatch Logs operations like creating log groups, streams, and reading or writing log events.

How do I configure the server?

Set environment variables AWS_REGION, AWS_ACCESS_KEY_ID, and AWS_SECRET_ACCESS_KEY in the MCP client configuration for the amazon-cloudwatch-logs server.

What operations does it support?

It supports nine tools: create_log_group, describe_log_groups, delete_log_group, create_log_stream, describe_log_streams, delete_log_stream, put_log_events, get_log_events, and filter_log_events.

Is this server ready for production use?

No. The project is under active development and not yet ready for production use; features and APIs may change significantly before a stable release.

How can I add new operations?

The server is designed to be extensible. You can create a new schema in src/operations/schemas/, implement the operation in src/operations/, add the tool definition to src/handlers/tools/types.ts, and list it in src/handlers/tools/tools.ts.

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