---
title: "Connect LearnDash to Railway - APIANT.ai"
description: "When \"Course Completed\" fires in LearnDash, your agent runs \"Get project\" in Railway."
canonical: "https://apiant.ai/connect/learndash-to-railway"
---

# Connect LearnDash to Railway

When **Course Completed** fires in [LearnDash](https://apiant.ai/connections/learndash), your agent runs **Get project** in [Railway](https://apiant.ai/connections/railway). Describe the whole flow and it is built, tested on every scenario and kept running.

LearnDash **8** triggers LearnDash **11** actions Railway **15** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want LearnDash and Railway to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What LearnDash can start in Railway

- When **Course Completed** in LearnDash then **Get project** in Railway
- When **Essay Submitted** in LearnDash then **Add domain** in Railway

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with LearnDash and Railway

## Triggers and actions 8 triggers · 26 actions

- Trigger

**Course Completed**

Triggers when the user you choose completes a LearnDash course.

- Trigger

**Enrolled Into a Group**

Triggers when a user is added to the LearnDash group you choose.

- Trigger

**Essay Submitted**

Triggers when a learner submits a new essay answer on a LearnDash quiz.

- Trigger

**Lesson Completed**

Triggers when the user you choose completes a lesson in the course you choose.

- Trigger

**New Course**

Triggers when a new course is created on your LearnDash site.

- Trigger

**New Course Enrollment**

Triggers when a user is enrolled in the course you choose.

- Trigger

**Quiz Taken**

Triggers when the user you choose finishes a LearnDash quiz attempt.

- Trigger

**Topic Completed**

Triggers when the user you choose completes a topic in the course you choose.

- Action

**Create Course**

Creates a new LearnDash course.

- Action

**Create Group**

Creates a new LearnDash group.

- Action

**Get Course**

Returns one LearnDash course by its ID.

- Action

**Get Group**

Returns one LearnDash group by its ID.

- Action

**Get Lesson**

Returns one LearnDash lesson by its ID.

- Action

**Get User Course Progress**

Returns a user's progress in one LearnDash course: status, steps completed and dates.

- Action

**List Courses**

Returns the courses on your LearnDash site, optionally filtered by search text, status or date.

- Action

**List Groups**

Returns the groups on your LearnDash site, optionally filtered by search text, status or date.

- Action

**List Lessons**

Returns the lessons on your LearnDash site, optionally filtered by search text, status or date.

- Action

**Update Course**

Updates an existing LearnDash course. Only the fields you fill in are changed.

- Action

**Update Group**

Updates an existing LearnDash group. Only the fields you fill in are changed.

- Action

**Add domain**

Adds a Railway-provided or custom domain to a service instance.

- Action

**Add service**

Creates a new service in a project, from a GitHub repo, Docker image, or empty.

- Action

**Delete deployment**

Removes a deployment from a Railway service's deployment history.

- Action

**Delete environment**

Deletes a Railway environment and all of its deployments.

- Action

**Get deployment**

Fetches a deployment by ID.

- Action

**Get project**

Fetches a project by ID including its services.

- Action

**Get service**

Fetches a service by ID.

- Action

**Get variables**

Fetches variables for a service/environment.

- Action

**List deployments**

Lists the deployments of a Railway service in an environment (up to the 100 most recent).

- Action

**List domains**

Returns the custom domains and Railway-provided domains attached to a service in one environment, with each custom domain's DNS and certificate status.

- Action

**List environments**

Lists all environments for a project.

- Action

**List projects**

Lists all projects accessible to the token.

- Action

**Rollback deployment**

Rolls a Railway service back to a previous deployment.

- Action

**Update service**

Updates a Railway service's name or icon.

- Action

**Update variables**

Creates or updates several variables at once for a Railway service, or the shared variables of an environment.

## Each app on its own

- [ **LearnDash** LearnDash is a learning management system plugin built for WordPress.](https://apiant.ai/connections/learndash)
- [ **Railway** Cloud infrastructure platform for deploying and hosting applications, databases, and background jobs from...](https://apiant.ai/connections/railway)

Reviews

## What our customers say

## More from LearnDash

- [ **LearnDash to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/learndash-to-salesforce)
- [ **LearnDash to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/learndash-to-slack)
- [ **LearnDash to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/learndash-to-mailchimp)
- [ **LearnDash to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/learndash-to-stripe)
- [ **LearnDash to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/learndash-to-shopify)
- [ **LearnDash to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/learndash-to-quickbooks-online)

## More into Railway

- [ **Slack to Railway** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-railway)
- [ **JIRA to Railway** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/jira-to-railway)
- [ **HubSpot to Railway** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-railway)
- [ **Salesforce to Railway** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-railway)
- [ **Google Sheets to Railway** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-railway)
- [ **Gmail to Railway** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-railway)

Questions

## LearnDash and Railway, answered

###

### What can start an automation from LearnDash?

Any of LearnDash's 8 triggers in the catalog, including Course Completed, Essay Submitted, Lesson Completed and New Course. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Railway when something happens in LearnDash?

Any of Railway's 15 actions, including Update service, Update variables, Add domain and Add service. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Railway to LearnDash?

Railway has no triggers in the catalog today, so automations start in LearnDash. If you need the other direction, ask: your agent reads Railway's API documentation and adds it.

###

### Do I have to build a connector for LearnDash or Railway?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### Can my AI client use LearnDash and Railway without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
