Amazon CloudWatch Application Insights MCP Server
Amazon CloudWatch Application Insights is a specialized observability service provided by Amazon Web Services (AWS) designed to simplify the monitoring and troubleshooting of applications, particularly those built on Microsoft IIS and .
Quick Start Summary
The Amazon CloudWatch Application Insights MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon CloudWatch Application Insights API through natural language. It exposes 10 API endpoints as callable tools, such as CreateApplication, CreateComponent, CreateLogPattern, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-application-insights. This integration is sourced from the auto Amazon CloudWatch Application Insights OpenAPI specification (v2018-11-25) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Databases
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2018-11-25
- Install Command
npx -y @mcp/amazonaws-com-application-insights
Environment Variables
AMAZON_CLOUDWATCH_APPLICATION_INSIGHTS_API_KEYExample: your_amazon_cloudwatch_application_insights_api_key
Top Endpoints
/#X-Amz-Target=EC2WindowsBarleyService.CreateApplicationCreateApplication
/#X-Amz-Target=EC2WindowsBarleyService.CreateComponentCreateComponent
/#X-Amz-Target=EC2WindowsBarleyService.CreateLogPatternCreateLogPattern
/#X-Amz-Target=EC2WindowsBarleyService.DeleteApplicationDeleteApplication
/#X-Amz-Target=EC2WindowsBarleyService.DeleteComponentDeleteComponent
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"amazonaws-com-application-insights": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-application-insights"
],
"env": {
"AMAZON_CLOUDWATCH_APPLICATION_INSIGHTS_API_KEY": "your_amazon_cloudwatch_application_insights_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-application-insights": {
"url": "https://mcpbridge.org/config/amazonaws-com-application-insights.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-application-insights": {
"url": "https://mcpbridge.org/config/amazonaws-com-application-insights.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon CloudWatch Application Insights endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/application-insights/2018-11-25/#X-Amz-Target=EC2WindowsBarleyService.CreateApplication" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-application-insights": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-application-insights"],
"env": {
"AMAZON_CLOUDWATCH_APPLICATION_INSIGHTS_API_KEY": "your_amazon_cloudwatch_application_insights_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking Amazon CloudWatch Application Insights endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2018-11-25
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
DescribeApplication and DescribeComponent tools to instantly fetch the current health status and configuration of a running application, providing a developer with a real-time summary during a debugging session. It could then utilize DescribeComponentConfigurationRecommendation to suggest optimal monitoring settings based on AWS best practices, or dynamically call CreateLogPattern to ingest new error logs identified during an AI-assisted code review, thereby automating the setup of precise observability for newly added application features. This transforms the AI from a passive code generator into an active participant in the application lifecycle, capable of bridging the gap between code deployment and operational monitoring.CreateApplication and CreateComponent to structure the monitoring, followed by CreateLogPattern to focus on the relevant data. Another scenario involves automated optimization: "Review the current monitoring configuration for my 'Checkout' service, compare it against the recommended settings, and apply the recommendations where they improve visibility into latency." Here, the AI would chain DescribeComponentConfiguration, DescribeComponentConfigurationRecommendation, and then update the configuration accordingly, automating a best-practice audit that would otherwise require manual console navigation and comparison.cloudwatch:Describe* for read-only access or cloudwatch:Create* and cloudwatch:Delete* for management functions. It is essential to use IAM roles with temporary credentials for any AI agent integration, never embedding long-term access keys in configuration files. Furthermore, network security should be maintained by ensuring the API calls originate from within a trusted VPC or are secured via AWS PrivateLink if applicable, and all access should be monitored and audited through AWS CloudTrail to maintain a compliance trail for any automated changes made by the AI assistant.Similar APIs
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