Dodo Payments MCP server

The Dodo Payments API library provides a convenient way to interact with the Dodo Payments REST API from your server-side JavaScript or TypeScript applications. This easy-to-use package lets you process payments, manage customers, and integrate payment functionality into your Node.js applications.

Installation

To install the Dodo Payments library, run:

npm install dodopayments

Basic Usage

Here's how to create a payment using the Dodo Payments client:

import DodoPayments from 'dodopayments';

const client = new DodoPayments({
  bearerToken: process.env['DODO_PAYMENTS_API_KEY'], // This is the default and can be omitted
  environment: 'test_mode', // defaults to 'live_mode'
});

async function main() {
  const payment = await client.payments.create({
    billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' },
    customer: { customer_id: 'customer_id' },
    product_cart: [{ product_id: 'product_id', quantity: 0 }],
  });

  console.log(payment.payment_id);
}

main();

Using TypeScript

The library includes TypeScript definitions for all request parameters and response fields:

import DodoPayments from 'dodopayments';

const client = new DodoPayments({
  bearerToken: process.env['DODO_PAYMENTS_API_KEY'],
  environment: 'test_mode',
});

async function main() {
  const params: DodoPayments.PaymentCreateParams = {
    billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' },
    customer: { customer_id: 'customer_id' },
    product_cart: [{ product_id: 'product_id', quantity: 0 }],
  };
  const payment: DodoPayments.PaymentCreateResponse = await client.payments.create(params);
}

main();

Error Handling

When the API returns a non-success status code, the library throws a subclass of APIError:

async function main() {
  const payment = await client.payments
    .create({
      billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' },
      customer: { customer_id: 'customer_id' },
      product_cart: [{ product_id: 'product_id', quantity: 0 }],
    })
    .catch(async (err) => {
      if (err instanceof DodoPayments.APIError) {
        console.log(err.status); // 400
        console.log(err.name); // BadRequestError
        console.log(err.headers); // {server: 'nginx', ...}
      } else {
        throw err;
      }
    });
}

Error Types

Configuring Retries

The library automatically retries certain errors (connection issues, timeouts, rate limits, and internal server errors):

// Configure the default for all requests:
const client = new DodoPayments({
  maxRetries: 0, // default is 2
});

// Or, configure per-request:
await client.payments.create(
  { 
    billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' }, 
    customer: { customer_id: 'customer_id' }, 
    product_cart: [{ product_id: 'product_id', quantity: 0 }] 
  }, 
  {
    maxRetries: 5,
  }
);

Configuring Timeouts

Requests time out after 1 minute by default:

// Configure the default for all requests:
const client = new DodoPayments({
  timeout: 20 * 1000, // 20 seconds (default is 1 minute)
});

// Override per-request:
await client.payments.create(
  { 
    billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' }, 
    customer: { customer_id: 'customer_id' }, 
    product_cart: [{ product_id: 'product_id', quantity: 0 }] 
  }, 
  {
    timeout: 5 * 1000,
  }
);

Pagination

For list methods that return multiple items, you can use auto-pagination:

async function fetchAllPayments(params) {
  const allPayments = [];
  // Automatically fetches more pages as needed
  for await (const paymentListResponse of client.payments.list()) {
    allPayments.push(paymentListResponse);
  }
  return allPayments;
}

Or fetch a single page at a time:

let page = await client.payments.list();
for (const paymentListResponse of page.items) {
  console.log(paymentListResponse);
}

// Manually navigate through pages
while (page.hasNextPage()) {
  page = await page.getNextPage();
  // Process items in the new page
}

Advanced Usage

Accessing Raw Response Data

You can access the raw HTTP response:

const response = await client.payments
  .create({
    billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' },
    customer: { customer_id: 'customer_id' },
    product_cart: [{ product_id: 'product_id', quantity: 0 }],
  })
  .asResponse();
console.log(response.headers.get('X-My-Header'));

// Or get both parsed data and raw response
const { data: payment, response: raw } = await client.payments
  .create({
    billing: { city: 'city', country: 'AF', state: 'state', street: 'street', zipcode: 'zipcode' },
    customer: { customer_id: 'customer_id' },
    product_cart: [{ product_id: 'product_id', quantity: 0 }],
  })
  .withResponse();

Using Proxies

You can configure the HTTP agent to use a proxy:

import { HttpsProxyAgent } from 'https-proxy-agent';

const client = new DodoPayments({
  httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
});

Custom Fetch Client

You can provide a custom fetch implementation:

import { fetch } from 'undici';
import DodoPayments from 'dodopayments';

const client = new DodoPayments({
  fetch: async (url: RequestInfo, init?: RequestInit): Promise<Response> => {
    console.log('About to make a request', url, init);
    const response = await fetch(url, init);
    console.log('Got response', response);
    return response;
  },
});

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.