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Complete MCP server exposing 27 Amazon CloudWatch Application Insights API operations to AI agents.
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This workflow converts the Amazon CloudWatch Application Insights API into an MCP-compatible interface for AI agents.
• MCP Trigger : Serves as your server endpoint for AI agent requests
• HTTP Request Nodes : Handle API calls to http://applicationinsights .{region}.amazonaws.com
• AI Expressions : Automatically populate parameters via $fromAI() placeholders
• Native Integration : Returns responses directly to the AI agent
• POST /#X-Amz-Target=EC2WindowsBarleyService.CreateApplication : Adds an application that is created from a resource group.
• POST /#X-Amz-Target=EC2WindowsBarleyService.CreateComponent : Creates a custom component by grouping similar standalone instances to monitor.
• POST /#X-Amz-Target=EC2WindowsBarleyService.CreateLogPattern : Adds an log pattern to a <code>LogPatternSet</code>.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DeleteApplication : Removes the specified application from monitoring. Does not delete the application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DeleteComponent : Ungroups a custom component. When you ungroup custom components, all applicable monitors that are set up for the component are removed and the instances revert to their standalone status.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DeleteLogPattern : Removes the specified log pattern from a <code>LogPatternSet</code>.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeApplication : Describes the application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeComponent : Describes a component and lists the resources that are grouped together in a component.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeComponentConfiguration : Describes the monitoring configuration of the component.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeComponentConfigurationRecommendation : Describes the recommended monitoring configuration of the component.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeLogPattern : Describe a specific log pattern from a <code>LogPatternSet</code>.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeObservation : Describes an anomaly or error with the application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeProblem : Describes an application problem.
• POST /#X-Amz-Target=EC2WindowsBarleyService.DescribeProblemObservations : Describes the anomalies or errors associated with the problem.
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListApplications : Lists the IDs of the applications that you are monitoring.
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListComponents : Lists the auto-grouped, standalone, and custom components of the application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListConfigurationHistory : <p> Lists the INFO, WARN, and ERROR events for periodic configuration updates performed by Application Insights. Examples of events represented are: </p> <ul> <li> <p>INFO: creating a new alarm or updating an alarm threshold.</p> </li> <li> <p>WARN: alarm not created due to insufficient data points used to predict thresholds.</p> </li> <li> <p>ERROR: alarm not created due to permission errors or exceeding quotas. </p> </li> </ul>
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListLogPatternSets : Lists the log pattern sets in the specific application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListLogPatterns : Lists the log patterns in the specific log <code>LogPatternSet</code>.
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListProblems : Lists the problems with your application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.ListTagsForResource : Retrieve a list of the tags (keys and values) that are associated with a specified application. A <i>tag</i> is a label that you optionally define and associate with an application. Each tag consists of a required <i>tag key</i> and an optional associated <i>tag value</i>. A tag key is a general label that acts as a category for more specific tag values. A tag value acts as a descriptor within a tag key.
• POST /#X-Amz-Target=EC2WindowsBarleyService.TagResource : <p>Add one or more tags (keys and values) to a specified application. A <i>tag</i> is a label that you optionally define and associate with an application. Tags can help you categorize and manage applications in different ways, such as by purpose, owner, environment, or other criteria. </p> <p>Each tag consists of a required <i>tag key</i> and an associated <i>tag value</i>, both of which you define. A tag key is a general label that acts as a category for more specific tag values. A tag value acts as a descriptor within a tag key.</p>
• POST /#X-Amz-Target=EC2WindowsBarleyService.UntagResource : Remove one or more tags (keys and values) from a specified application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.UpdateApplication : Updates the application.
• POST /#X-Amz-Target=EC2WindowsBarleyService.UpdateComponent : Updates the custom component name and/or the list of resources that make up the component.
• POST /#X-Amz-Target=EC2WindowsBarleyService.UpdateComponentConfiguration : Updates the monitoring configurations for the component. The configuration input parameter is an escaped JSON of the configuration and should match the schema of what is returned by <code>DescribeComponentConfigurationRecommendation</code>.
• POST /#X-Amz-Target=EC2WindowsBarleyService.UpdateLogPattern : Adds a log pattern to a <code>LogPatternSet</code>.
Parameter Handling : AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication
Response Format : Native Amazon CloudWatch Application Insights API responses with full data structure
Error Handling : Built-in n8n HTTP request error management
Connect this MCP server to any AI agent or workflow:
• Claude Desktop : Add MCP server URL to configuration
• Cursor : Add MCP server SSE URL to configuration
• Custom AI Apps : Use MCP URL as tool endpoint
• API Integration : Direct HTTP calls to MCP endpoints
• Zero Setup : No parameter mapping or configuration needed
• AI-Ready : Built-in $fromAI() expressions for all parameters
• Production Ready : Native n8n HTTP request handling and logging
• Extensible : Easily modify or add custom logic
🆓 Free for community use ! Ready to deploy in under 2 minutes.
