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Uploaded: 08.01.2026

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$6.95
# Manage Paddle subscriptions and payments via AI using MCP and n8n

This automation template enables AI agents to directly interact with the Paddle payment system via the MCP (Model Context Protocol) standard. It´s ideal for SaaS companies and product teams needing fast integration between subscription logic and AI assistants.

## Who it´s for
- Developers building AI agents for payment automation.
- SaaS companies using Paddle for subscription management.
- Product teams needing quick AI-to-billing integration.
- Integrators automating billing workflows via AI assistants.

## What the automation does
- Provides access to user, product, plan, coupon, and payment data via Get requests.
- Allows creating and updating coupons upon AI request.
- Supports rescheduling payments through Paddle API.
- Integrates with LangChain via MCP server for secure, context-aware actions.
- Operates in real-time as an AI tool.

## What´s included
- Ready-to-use n8n workflow.
- Trigger and handler logic based on LangChain MCP.
- Integrations exclusively with Paddle API.
- Basic text instructions for launch and adaptation.

## Requirements for setup
- n8n account (cloud or self-hosted).
- Paddle account with API keys (Sandbox or Production).
- Server running LangChain MCP capable of receiving requests from n8n.

## Benefits and outcomes
- Accelerates AI response to customer inquiries about subscriptions and payments.
- Automates coupon issuance without manual input.
- Reduces support load via autonomous agent operation.
- Ensures standardized AI-to-payment interactions via MCP.
- Enables scalable billing operations through AI interfaces.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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