About
The Dodo Payments MCP Server provides a fully typed TypeScript library that simplifies accessing the Dodo Payments REST API from server‑side JavaScript/TypeScript applications. It handles authentication, request retries, and error handling out of the box.
Capabilities
Overview
Dodo Payments is a cloud‑based payment processing platform that offers merchants and developers an end‑to‑end solution for handling online transactions. The MCP server “Dodo Payments” exposes the platform’s REST API as a set of typed, auto‑generated resources that can be consumed directly by AI assistants such as Claude. By providing a structured interface for creating checkout sessions, managing products, and handling webhooks, the server eliminates the need for developers to manually construct HTTP requests or parse raw JSON responses. Instead, an AI assistant can query the MCP for a “checkoutSessions.create” tool and supply a simple product cart, receiving a fully validated session ID in return.
The value for developers lies in the tight coupling between type safety and conversational AI. Every request parameter and response field is defined in TypeScript, so the MCP can expose rich autocomplete hints and inline documentation to the assistant’s language model. When an AI assistant calls a tool, it receives a well‑typed payload that guarantees compliance with the Dodo Payments API contract. This reduces runtime errors, speeds up prototyping, and ensures that billing logic remains consistent across codebases.
Key capabilities of the MCP server include:
- Resource‑oriented tooling – Checkout sessions, products, and other entities are exposed as distinct resources with CRUD‑style methods.
- Robust error handling – The server maps HTTP status codes to specific exception classes (, , etc.), enabling the assistant to surface precise failure reasons.
- Automatic retries and backoff – Network hiccups or transient server errors are retried up to two times by default, with exponential backoff.
- Configurable timeouts – Default 60‑second request windows can be tuned per resource or globally, giving developers control over latency expectations.
- Environment switching – A simple flag ( vs ) lets developers toggle between sandbox and production endpoints without changing code.
Real‑world scenarios that benefit from this MCP server include:
- E‑commerce storefronts where an AI chatbot guides a customer through product selection and automatically generates a checkout URL.
- Subscription management where the assistant can create recurring payment plans and update billing details on behalf of users.
- Automated invoicing systems that pull transaction data from Dodo Payments and feed it into accounting workflows.
- Analytics dashboards that expose live payment metrics to business users via conversational queries.
Integrating the Dodo Payments MCP into an AI workflow is straightforward: a developer defines the server in their assistant’s configuration, and the model can invoke any exposed tool with natural language prompts. The assistant translates user intent into a typed request, receives the response, and can then continue the conversation or trigger downstream actions (e.g., sending a confirmation email). This seamless bridge between human language and structured API calls empowers developers to build intelligent, payment‑enabled applications with minimal boilerplate.
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