AWS Cost Report Automation for AI Agents
detail.loadingPreview
Empower your AI agents to manage AWS Cost and Usage Reports (CUR) effortlessly. This n8n workflow provides a robust interface, allowing AI to programmatically create, delete, describe, and modify your AWS billing reports, ensuring intelligent cloud cost oversight.
About This Workflow
This n8n workflow transforms the complex AWS Cost and Usage Report (CUR) API into an accessible, AI-friendly service via the Managed Control Plane (MCP) trigger. It acts as a dedicated server endpoint for your AI agents, enabling them to interact directly with your AWS billing data. Leveraging n8n's HTTP Request nodes, the workflow executes CUR operations like creating new reports or fetching existing definitions. Crucially, AI expressions ($fromAI()) automatically populate necessary parameters, streamlining interactions and making programmatic AWS cost management intuitive for any connected AI agent. It ensures native integration, delivering API responses directly back to your AI for further processing.
Key Features
- AI Agent Compatibility: Seamlessly integrates with AI agents via n8n's MCP, turning AWS CUR operations into callable tools.
- Comprehensive CUR Management: Enables AI to programmatically create, delete, describe, and modify AWS Cost and Usage Report definitions.
- Intelligent Parameter Handling: Utilizes
$fromAI()expressions for automatic parameter population, simplifying AI-driven API calls. - Native AWS Integration: Directly interfaces with the AWS Cost and Usage Report API endpoint (
cur.us-east-1.amazonaws.com). - Extensible and Customizable: Easily extend the workflow with additional data transformations, error handling, or logging nodes to fit specific needs.
How To Use
- Import Workflow: Load this JSON snippet into your n8n instance to get started.
- Configure AWS Authentication: Set up API Key credentials in n8n. The key name should be
Authorization, and the type should be 'API Key in header'. - Activate Workflow: Enable the workflow to start the MCP server, making it accessible to your AI agents.
- Get MCP URL: Copy the unique webhook URL from the
AWS Cost and Usage Report Service MCP Servertrigger node. - Connect AI Agent: Use the copied MCP URL within your AI agent's configuration to establish the connection and enable its access to AWS CUR tools.
- (Optional) Customize: Modify parameter defaults in HTTP request nodes or add data transformation, error handling, or logging nodes as needed.
Apps Used
Workflow JSON
{
"id": "c4059bc2-42c0-48a0-be3c-c274610ac82b",
"name": "AWS Cost Report Automation for AI Agents",
"nodes": 24,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: c4059bc2-42c0...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Related Workflows
Discover more workflows you might like
Effortless Bug Reporting: Slack Slash Command to Linear Issue
Streamline your bug reporting process by instantly creating Linear issues directly from Slack using a simple slash command. This workflow enhances team collaboration by providing immediate feedback and a structured approach to logging defects, saving valuable time for development and QA teams.
Automated PR Merged QA Notifications
Streamline your QA process with this automated workflow that notifies your team upon successful Pull Request merges. Leverage AI and vector stores to enrich notifications and ensure seamless integration into your development pipeline.
Visualize Your n8n Workflows: Interactive Dashboard with Mermaid.js
Gain unparalleled visibility into your n8n automation landscape. This workflow transforms your n8n instance into a dynamic, interactive dashboard, leveraging Mermaid.js to visualize all your workflows in one accessible place.