MCP server for AI agents to access Amazon CloudWatch…

This workflow enables AI agents to interact with Amazon CloudWatch Application Insights via HTTP API using the MCP protocol. It translates natural language commands into AWS API calls for diagnosing issues, managing components, and analyzing application health. Designed for professionals who want to use AI for real-time monitoring operations in AWS.

## Who it´s for
- Developers integrating AWS with AI agents
- SRE engineers using AI for application diagnostics
- DevOps teams automating monitoring via natural language interfaces
- Cloud architects building AWS-based solutions

## What the automation does
- Receives HTTP requests from AI agents via an MCP-compatible interface
- Authenticates requests using an API key in the Authorization header
- Translates commands into AWS SDK calls for CloudWatch Application Insights
- Supports 27 operations including CreateApplication, ListProblems, DescribeProblem, UpdateComponentConfiguration, and ListTagsForResource
- Returns structured responses for further processing by the AI agent

## What´s included
- Ready-to-use n8n workflow
- Logic for handling HTTP triggers and request routing
- Integrations with Amazon CloudWatch Application Insights via AWS SDK (HTTP)
- Basic textual guide for setup and adaptation

## Requirements for setup
- AWS account with access to CloudWatch Application Insights
- Configured IAM credentials with required permissions
- n8n instance capable of receiving external HTTP requests
- MCP agent able to send HTTP requests to the workflow

## Benefits and outcomes
- Faster incident diagnosis through natural language interface
- Reduced workload for SRE and DevOps teams via automated routine operations
- Centralized control over application monitoring using AI
- Integration into larger autonomous AI-driven systems
- Support for a wide range of operations without writing custom code

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.