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Aws cost & usage report management for AI agents

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Complete MCP server exposing 4 AWS Cost and Usage Report Service API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community 1. Import this workflow into your n8n instance 2. Credentials Add AWS Cost and Usage Report Service credentials 3. Activate the workflow to start your MCP server 4. Copy the webhook URL from the MCP trigger node 5. Connect AI agents using the MCP URL 🔧 How

At a glance

Aws cost & usage report management for AI agents is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects UNSUPPORTED_SLUG_FORMAT. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
UNSUPPORTED_SLUG_FORMAT
Modules
5
Price
Free
Version
v1.0
Aws cost & usage report management for AI agents workflow diagram

About this workflow

Complete MCP server exposing 4 AWS Cost and Usage Report Service API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community 1. Import this workflow into your n8n instance 2. Credentials Add AWS Cost and Usage Report Service credentials 3. Activate the workflow to start your MCP server 4. Copy the webhook URL from the MCP trigger node 5. Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the AWS Cost and Usage Report Service 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 • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (4 total) 🔧 #X-Amz-Target=Awsorigamiservicegatewayservice.Deletereportdefinition (1 endpoints) • POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.DeleteReportDefinition: Deletes the specified report. 🔧 #X-Amz-Target=Awsorigamiservicegatewayservice.Describereportdefinitions (1 endpoints) • POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.DescribeReportDefinitions: Lists the AWS Cost and Usage reports available to this account. 🔧 #X-Amz-Target=Awsorigamiservicegatewayservice.Modifyreportdefinition (1 endpoints) • POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.ModifyReportDefinition: Allows you to programatically update your report preferences. 🔧 #X-Amz-Target=Awsorigamiservicegatewayservice.Putreportdefinition (1 endpoints) • POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.PutReportDefinition: Creates a new report using the description that you provide. 🤖 AI Integration 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 AWS Cost and Usage Report Service API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples 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 ✨ Benefits • 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.

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How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

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