Amazon CloudWatch Logs MCP Server

0
0 Reviews
0 Stars
A Model Context Protocol (MCP) server allowing AI assistants to perform CloudWatch Logs operations using a standardized interface for comprehensive log management.
Added on:
Created by:
Apr 25 2025
Amazon CloudWatch Logs MCP Server

Amazon CloudWatch Logs MCP Server

0 Reviews
0
0
Amazon CloudWatch Logs MCP Server
A Model Context Protocol (MCP) server allowing AI assistants to perform CloudWatch Logs operations using a standardized interface for comprehensive log management.
Added on:
Created by:
Apr 25 2025
Hiroki Yorimitsu
Featured

What is Amazon CloudWatch Logs MCP Server?

This MCP server enables AI assistants to interact with Amazon CloudWatch Logs through a consistent interface leveraging AWS SDK. It supports operations like creating, listing, and deleting log groups and streams, as well as uploading, retrieving, and filtering log events. Additionally, it provides insights query capabilities such as starting, stopping, and fetching query results. The server facilitates efficient management and monitoring of log data, making it suitable for automated log analysis, troubleshooting, and compliance checks across AWS environments.

Who will use Amazon CloudWatch Logs MCP Server?

  • Developers working with AWS CloudWatch Logs
  • AI assistant developers
  • System administrators managing AWS logs
  • Cloud monitoring tools providers

How to use the Amazon CloudWatch Logs MCP Server?

  • Step1: Install the MCP server via npm, Docker, or from source
  • Step2: Configure AWS credentials and region in the environment variables
  • Step3: Add MCP server to AI assistant's configuration
  • Step4: Use provided tools to perform log group, stream, and event operations
  • Step5: Optionally, set read-only mode for monitoring only

Amazon CloudWatch Logs MCP Server's Core Features & Benefits

The Core Features
  • create_log_group
  • describe_log_groups
  • delete_log_group
  • create_log_stream
  • describe_log_streams
  • delete_log_stream
  • put_log_events
  • get_log_events
  • filter_log_events
  • start_query
  • stop_query
  • get_query_results
  • describe_queries
The Benefits
  • Standardized interface for log management
  • Automates log operations and analyses
  • Supports comprehensive log monitoring and troubleshooting
  • Integrates with AI assistants for seamless operations
  • Flexible configuration including read-only mode

Amazon CloudWatch Logs MCP Server's Main Use Cases & Applications

  • Automated log management and analysis
  • Troubleshooting AWS environments
  • Monitoring cloud applications
  • Automating compliance audits

FAQs of Amazon CloudWatch Logs MCP Server

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Cloud Platforms

A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
Demo project showcasing MCP protocol integration with Azure OpenAI for seamless AI application interactions.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A dynamic MCP server facilitating interaction with Etherscan's API for blockchain data retrieval.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.

Monitoring

Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
A simplified Prometheus MCP server for collecting and exposing metrics and monitoring data.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A WebSocket-based real-time chat application with user authentication, message history, and health monitoring features.
A client-side application for managing MCP functions with real-time updates and user interaction features.