This n8n workflow sets up an automated interface for managing AWS Cost and Usage Reports through an MCP (Managed Cloud Platform) server. The primary goal is to enable programmatic creation, listing, updating, and deletion of cost and usage reports in AWS, accessible via a webhook trigger for AI integration. The workflow begins with setup instructions, including importing and configuring API keys for AWS. It uses a webhook trigger node to listen for incoming requests from AI agents, which then trigger various HTTP request nodes to interact with the AWS Cost and Usage Report API.
Key nodes include:
– The MCP trigger node, which acts as the endpoint for AI requests.
– HTTP request nodes, which handle calls to AWS endpoints for listing reports, describing report definitions, creating new reports, updating existing reports, and deleting reports.
– Sticky notes, which provide detailed documentation and instructions for each step.
The workflow is designed to streamline the automation of report management tasks, making it practical for cloud administrators and financial teams to maintain and adjust AWS billing reports dynamically. It is especially useful in scenarios where frequent updates or audits of cost reports are needed, facilitating seamless AI-driven operations.
This setup ensures a secure and automated communication channel between AI agents and AWS Cost and Usage Reports API, simplifying complex billing management tasks.
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