--- title: "Connect LearnDash to Optimizely - APIANT.ai" description: "When \"Course Completed\" fires in LearnDash, your agent runs \"Add page\" in Optimizely." canonical: "https://apiant.ai/connect/learndash-to-optimizely" --- # Connect LearnDash to Optimizely When **Course Completed** fires in [LearnDash](https://apiant.ai/connections/learndash), your agent runs **Add page** in [Optimizely](https://apiant.ai/connections/optimizely). Describe the whole flow and it is built, tested on every scenario and kept running. LearnDash **8** triggers LearnDash **11** actions Optimizely **26** 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 Optimizely 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 Optimizely - When **Course Completed** in LearnDash then **Add page** in Optimizely - When **Essay Submitted** in LearnDash then **Add project** in Optimizely 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 Optimizely ## Triggers and actions 8 triggers · 37 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 attribute** Creates a new attribute in an Optimizely project, which can be used to target audiences. - Action **Add audience** Adds a new audience to an Optimizely project and returns the id of the audience that was created. - Action **Add campaign** Creates a new personalization campaign in an Optimizely project and returns its id. - Action **Add experiment** Creates a new experiment in an Optimizely project and returns its id. - Action **Add feature** Creates a new feature flag in an Optimizely project. Works only with legacy Full Stack projects, and returns the id of the new feature. - Action **Add page** Creates a new page in an Optimizely project, defining the URL where experiments and campaigns can run and when it activates. Returns the created page. - Action **Add project** Creates a new Optimizely project in your account and returns the created project. - Action **Delete experiment** Archives an Optimizely experiment by its ID. Optimizely keeps archived experiments rather than permanently removing them. - Action **Get audience** Returns a single Optimizely audience by its ID, including its name, targeting conditions and status. An error occurs if the audience is not found. - Action **Get campaign** Returns a single Optimizely campaign by its ID, including its status, metrics, targeting and custom field values. - Action **Get experiment** Returns a single experiment by its ID, including its status, variations, metrics and targeting. Fails if the experiment is not found. - Action **Get experiment results** Returns the results of an Optimizely experiment, including metric performance per variation, reach and statistical significance, optionally limited to a time range or visitor segment. - Action **Get feature** Returns a single feature by its ID, including its variables and its rollout rules in each environment. Works only with legacy Full Stack projects. - Action **Get project** Returns all the properties of a single Optimizely project, including its platform, status and web snippet settings. - Action **List attributes** Returns all attributes in an Optimizely project, including their keys, names and archived status. - Action **List audiences** Returns the audiences in an Optimizely project, optionally filtered by archived or journey status. - Action **List campaigns** Returns all campaigns in an Optimizely project, optionally narrowed by journey or archived status. - Action **List environments** Returns all of the environments that have been created in an Optimizely project. - Action **List events** Returns all events in an Optimizely project, including pageview events and, optionally, classic goals. - Action **List experiments** Returns all experiments in an Optimizely project or campaign. - Action **List features** Returns all features created in an Optimizely project, including their variables and per-environment rollout rules. - Action **List pages** Returns the pages defined in an Optimizely project, optionally including single-use pages generated for campaign URL targeting. - Action **List projects** Returns all the projects in your Optimizely account, with their settings and status. - Action **Update campaign** Updates an existing Optimizely campaign's details, targeting and metrics, and can publish, start, pause, resume or unarchive it. Returns the updated campaign. - Action **Update experiment** Updates an Optimizely experiment's settings, such as its name, audiences, metrics, variations and schedule, and can optionally publish, start, pause, resume or unarchive it. Returns the updated experiment. - Action **Update feature** Updates an existing feature's name, key, description, variables, environment rollout rules or archived state, and returns the updated feature. ## Each app on its own - [ **LearnDash** LearnDash is a learning management system plugin built for WordPress.](https://apiant.ai/connections/learndash) - [ **Optimizely** The Optimizely platform technology provides A/B testing tools, in which two versions of a web page can be...](https://apiant.ai/connections/optimizely) 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 Optimizely - [ **HubSpot to Optimizely** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-optimizely) - [ **Salesforce to Optimizely** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-optimizely) - [ **Slack to Optimizely** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-optimizely) - [ **Google Sheets to Optimizely** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-optimizely) - [ **Gmail to Optimizely** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-optimizely) - [ **Google Calendar to Optimizely** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-optimizely) Questions ## LearnDash and Optimizely, 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 Optimizely when something happens in LearnDash? Any of Optimizely's 26 actions, including Update campaign, Update experiment, Update feature and Add attribute. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Optimizely to LearnDash? Optimizely has no triggers in the catalog today, so automations start in LearnDash. If you need the other direction, ask: your agent reads Optimizely's API documentation and adds it. ### ### Do I have to build a connector for LearnDash or Optimizely? 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 Optimizely 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.