This workflow enables seamless interaction with Stripe’s API through an AI-powered chat interface integrated with n8n. The main goal is to allow users to ask questions or request actions related to their Stripe account, such as retrieving customer data, charges, coupons, or balance information, and even creating coupons, all via natural language commands.

The workflow begins with an external chat message trigger, which activates the AI agent that uses the ‘Kimi K2’ language model hosted on OpenRouter. This model processes user queries and interacts with Stripe’s API: it can fetch multiple customers, charges, coupons, or the current balance, or create new coupons based on user input.

To maintain context during a conversation, a memory buffer node stores recent dialogue history, enabling more coherent interactions. The AI agent, equipped with configured tools and permissions, responds intelligently based on user prompts.

Additionally, Sticky Note nodes are used for documentation within the workflow, outlining requirements such as API credentials and setup instructions. The entire setup is useful for businesses or developers who want to provide a natural language interface for managing their Stripe account, making financial data and actions accessible without complex manual processes.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryBufferWindow, stickyNote, stripeTool