Dodo Payments▌
by dodopayments
Dodo Payments — lightweight, serverless-ready API for AI-driven billing, subscriptions, and customer management.
Provides a lightweight, serverless-compatible interface for AI-driven payment operations like billing, subscriptions, and customer management using the Dodo Payments API.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers integrating payment systems
- / Building subscription-based applications
- / AI-assisted payment workflow automation
- / Testing payment API integrations
capabilities
- / Create and manage customer subscriptions
- / Process billing operations and invoices
- / Handle customer data and profiles
- / Explore payment API endpoints
- / Make test requests to payment services
- / Access payment documentation
what it does
Lets AI assistants interact with the Dodo Payments API for managing billing, subscriptions, and customers through natural language commands.
about
Dodo Payments is an official MCP server published by dodopayments that provides AI assistants with tools and capabilities via the Model Context Protocol. Dodo Payments — lightweight, serverless-ready API for AI-driven billing, subscriptions, and customer management. It is categorized under developer tools.
how to install
You can install Dodo Payments in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Dodo Payments is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Dodo Payments TypeScript API Library
This library provides convenient access to the Dodo Payments REST API from server-side TypeScript or JavaScript.
The REST API documentation can be found on docs.dodopayments.com. The full API of this library can be found in api.md.
It is generated with Stainless.
MCP Server
Use the Dodo Payments MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
Note: You may need to set environment variables in your MCP client.
Installation
npm install dodopayments
Usage
The full API of this library can be found in api.md.
<!-- prettier-ignore -->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'
});
const checkoutSessionResponse = await client.checkoutSessions.create({
product_cart: [{ product_id: 'product_id', quantity: 0 }],
});
console.log(checkoutSessionResponse.session_id);
Request & Response types
This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:
<!-- prettier-ignore -->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'
});
const params: DodoPayments.CheckoutSessionCreateParams = {
product_cart: [{ product_id: 'product_id', quantity: 0 }],
};
const checkoutSessionResponse: DodoPayments.CheckoutSessionResponse =
await client.checkoutSessions.create(params);
Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.
Handling errors
When the library is unable to connect to the API,
or if the API returns a non-success status code (i.e., 4xx or 5xx response),
a subclass of APIError will be thrown:
const checkoutSessionResponse = await client.checkoutSessions
.create({ 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 codes are as follows:
| Status Code | Error Type |
|---|---|
| 400 | BadRequestError |
| 401 | AuthenticationError |
| 403 | PermissionDeniedError |
| 404 | NotFoundError |
| 422 | UnprocessableEntityError |
| 429 | RateLimitError |
| >=500 | InternalServerError |
| N/A | APIConnectionError |
Retries
Certain errors will be automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default.
You can use the maxRetries option to configure or disable this:
// Configure the default for all requests:
const client = new DodoPayments({
maxRetries: 0, // default is 2
});
// Or, configure per-request:
await client.checkoutSessions.create({ product_cart: [{ product_id: 'product_id', quantity: 0 }] }, {
maxRetries: 5,
});
Timeouts
Requests time out after 1 minute by default. You can configure this with a timeout option:
// Configure the default for all requests:
const client = new DodoPayments({
timeout: 20 * 1000, // 20 seconds (default is 1 minute)
});
// Override per-request:
await client.checkoutSessions.create({ product_cart: [{ product_id: 'product_id', quantity: 0 }] }, {
timeout: 5 * 1000,
});
On timeout, an APIConnectionTimeoutError is thrown.
Note that requests which time out will be retried twice by default.
Auto-pagination
List methods in the DodoPayments API are paginated.
You can use the for await … of syntax to iterate through items across all pages:
async function fetchAllPaymentListResponses(params) {
const allPaymentListResponses = [];
// Automatically fetches more pages as needed.
for await (const paymentListResponse of client.payments.list()) {
allPaymentListResponses.push(paymentListResponse);
}
return allPaymentListResponses;
}
Alternatively, you can request a single page at a time:
let page = await client.payments.list();
for (const paymentListResponse of page.items) {
console.log(paymentListResponse);
}
// Convenience methods are provided for manually paginating:
while (page.hasNextPage()) {
page = await page.getNextPage();
// ...
}
Advanced Usage
Accessing raw Response data (e.g., headers)
The "raw" Response returned by fetch() can be accessed through the .asResponse() method on the APIPromise type that all methods return.
This method returns as soon as the headers for a successful response are received and does not consume the response body, so you are free to write custom parsing or streaming logic.
You can also use the .withResponse() method to get the raw Response along with the parsed data.
Unlike .asResponse() this method consumes the body, returning once it is parsed.
const client = new DodoPayments();
const response = await client.checkoutSessions
.create({ product_cart: [{ product_id: 'product_id', quantity: 0 }] })
.asResponse();
console.log(response.headers.get('X-My-Header'));
console.log(response.statusText); // access the underlying Response object
const { data: checkoutSessionResponse, response: raw } = await client.checkoutSessions
.create({ product_cart: [{ product_id: 'product_id', quantity: 0 }] })
.withResponse();
console.log(raw.headers.get('X-My-Header'));
console.log(checkoutSessionResponse.session_id);
Logging
[!IMPORTANT] All log messages are intended for debugging only. The format and content of log messages may change between releases.
Log levels
The log level can be configured in two ways:
- Via the
DODO_PAYMENTS_LOGenvironment variable - Using the
logLevelclient option (overrides the environment variable if set)
import DodoPayments from 'dodopayments';
const client = new DodoPayments({
logLevel: 'debug', // Show all log messages
});
Available log levels, from most to least verbose:
'debug'- Show debug messages, info, warnings, and errors'info'- Show info messages, warnings, and errors'warn'- Show warnings and errors (default)'error'- Show only errors'off'- Disable all logging
At the 'debug' level, all HTTP requests and responses are logged, including headers and bodies.
Some authentication-related headers are redacted, but sensitive data in request and response bodies
may still be visible.
Custom logger
By default, this library logs to globalThis.console. You can also provide a custom logger.
Most logging libraries are supported, including pino, winston, bunyan, consola, signale, and @std/log. If your logger doesn't work, please open an issue.
When providing a custom logger, the logLevel option still controls which messages are emitted, messages
below the configured level will not be sent to your logger.
import DodoPayments from 'dodopayments';
import pino from 'pino';
con
---
FAQ
- What is the Dodo Payments MCP server?
- Dodo Payments is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Dodo Payments?
- This profile displays 43 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★43 reviews- ★★★★★Layla Rao· Dec 24, 2024
We wired Dodo Payments into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Chaitanya Patil· Dec 16, 2024
Dodo Payments has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Zara Harris· Dec 4, 2024
Dodo Payments is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Emma White· Nov 23, 2024
We wired Dodo Payments into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yuki Choi· Nov 15, 2024
Dodo Payments is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Piyush G· Nov 7, 2024
Dodo Payments reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Shikha Mishra· Oct 26, 2024
We wired Dodo Payments into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Emma Kim· Oct 14, 2024
Dodo Payments reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yuki Thomas· Oct 6, 2024
Dodo Payments has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Aarav Park· Sep 21, 2024
I recommend Dodo Payments for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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