{"id":10966,"date":"2026-02-05T16:52:02","date_gmt":"2026-02-05T21:52:02","guid":{"rendered":"https:\/\/learndash.com\/support\/?post_type=docs&#038;p=10966"},"modified":"2026-04-22T05:45:51","modified_gmt":"2026-04-22T09:45:51","password":"","slug":"learndash-angie","status":"publish","type":"docs","link":"https:\/\/learndash.com\/support\/kb\/learndash-mcp-server\/uncategorized\/learndash-angie\/","title":{"rendered":"LearnDash + Angie"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-what-is-angie\"><strong>What Is Angie?<\/strong><\/h2>\n\n\n\n<p><strong>Angie by Elementor<\/strong> is a built-in AI assistant that helps site owners manage and create content. For LearnDash users, Angie comes with a <strong>hosted MCP client<\/strong>, which means it can interact with LearnDash through the REST API without any technical setup.<\/p>\n\n\n\n<p>Angie offers LearnDash users the easiest entry point into MCP-powered AI. With its hosted server, no setup requirements, and built-in Elementor integration, Angie is perfect for educators and site owners who want to manage LearnDash with AI, without worrying about technical steps.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-why-use-angie-with-learndash\"><strong>Why Use Angie with LearnDash?<\/strong><\/h2>\n\n\n\n<p>Angie is designed for non-technical users who want to get started quickly. It allows LearnDash users to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Create and organize new courses<\/li>\n\n\n\n<li>Update course settings like start dates, access mode, or pricing<\/li>\n\n\n\n<li>Assign users to groups or enroll them in courses<\/li>\n\n\n\n<li>Suggest course structures or lesson layouts based on prompts<\/li>\n\n\n\n<li>Add tags, categories, and other organizational features<\/li>\n<\/ul>\n\n\n\n<p>Because Angie is hosted by Elementor, the connection is seamless. Users simply enable Angie, connect LearnDash, and start prompting.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-key-benefits-of-using-angie\"><strong>Key Benefits of Using Angie<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>No setup required<\/strong> \u2013 The hosted AI agent is already included.<\/li>\n\n\n\n<li><strong>No application password needed<\/strong> \u2013 Authentication is handled automatically.<\/li>\n\n\n\n<li><strong>Elementor integration<\/strong> \u2013 Works natively in sites already using Elementor.<\/li>\n\n\n\n<li><strong>Beginner-friendly<\/strong> \u2013 Designed for natural language use without technical steps.<\/li>\n\n\n\n<li><strong>Safe defaults<\/strong> \u2013 Angie follows the LearnDash API and executes one action at a time.<\/li>\n<\/ul>\n\n\n\n<p>Note: Even though Angie can act on multiple courses or students, all \u201cbulk\u201d actions are performed one by one. For example, enrolling 10 students means Angie processes 10 separate enrollment actions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-to-connect-angie-to-learndash\"><strong>How to Connect Angie to LearnDash<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Ensure LearnDash is installed and active<\/strong> on your WordPress site.<\/li>\n\n\n\n<li><strong>Enable Angie<\/strong> through the Elementor dashboard or plugin settings.<\/li>\n\n\n\n<li>Angie will automatically detect LearnDash and begin offering LearnDash-aware suggestions.<\/li>\n\n\n\n<li>Start prompting Angie with natural language requests.<\/li>\n<\/ol>\n\n\n\n<p>There is no need to generate an application password for Angie\u2019s connection.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-you-can-do-with-angie\"><strong>What You Can Do with Angie<\/strong><\/h2>\n\n\n\n<p>Here are examples of prompts that work well with Angie:<\/p>\n\n\n\n<p><strong>Create a New Course<\/strong><\/p>\n\n\n\n<p>\u201cCreate a new LearnDash course called \u2018Science Explorers.\u2019 Set it to free access and make it start on October 1, 2025, and end on December 15, 2025.\u201d<\/p>\n\n\n\n<p><strong>Add a Lesson with an Assignment<\/strong><\/p>\n\n\n\n<p>\u201cAdd a new lesson called \u2018Final Project\u2019 at the end of the course \u2018Science Explorers.\u2019 Enable assignments worth 50 points.\u201d<\/p>\n\n\n\n<p><strong>Update Course Enrollment Settings<\/strong><\/p>\n\n\n\n<p>\u201cChange all courses with access mode \u2018buy now\u2019 to access mode \u2018closed\u2019 and set their price to unavailable.\u201d<\/p>\n\n\n\n<p><strong>Organize Content<\/strong><\/p>\n\n\n\n<p>\u201cTag all courses related to AI with the tag \u2018Artificial Intelligence\u2019 and assign them to the category \u2018Emerging Tech.\u2019\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-privacy-and-data-access\"><strong>Privacy and Data Access<\/strong><\/h2>\n\n\n\n<p>When using Angie:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prompts flow through <strong>Elementor\u2019s hosted MCP infrastructure, <\/strong>under Angie\u2019s <a href=\"https:\/\/elementor.com\/terms\/angie-terms-conditions\/\">Terms and Conditions<\/a>.<\/li>\n\n\n\n<li>LearnDash, Liquid Web, and StellarWP do <strong>not<\/strong> see any prompts, responses, or data.<\/li>\n\n\n\n<li>Angie never stores prompts inside LearnDash itself.<\/li>\n<\/ul>\n\n\n\n<p>For maximum privacy, some users may prefer a <strong>local MCP server<\/strong> (for example, using Cursor with a local model). Angie, however, is optimized for accessibility and convenience.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-developer-and-power-user-notes\"><strong>Developer and Power User Notes<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Angie\u2019s hosted AI agent cannot be customized.<\/li>\n\n\n\n<li>Developers who need full control (e.g., local-only models, advanced prompt chaining, or integrations with custom endpoints) should use Cursor with an external MCP server.<\/li>\n\n\n\n<li>For full technical details on MCP endpoints and developer options, see the<a href=\"https:\/\/go.learndash.com\/mcpreadme\"> LearnDash MCP Readme<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>What Is Angie? Angie by Elementor is a built-in AI assistant that helps site owners manage and create content. For LearnDash users, Angie comes with a hosted MCP client, which means it can interact with LearnDash through the REST API without any technical setup. Angie offers LearnDash users the easiest entry point into MCP-powered AI&#8230;.<\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_helpful_status":1,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_swpsp_post_exclude":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"doc_category":[],"doc_tag":[],"knowledge_base":[293],"class_list":["post-10966","docs","type-docs","status-publish","hentry","knowledge_base-learndash-mcp-server"],"year_month":"2026-05","word_count":538,"total_views":"372","reactions":{"happy":"0","normal":"0","sad":"0"},"author_info":{"display_name":"Stephanie Liy","author_link":"https:\/\/learndash.com\/support\/author\/stephaniei\/"},"doc_category_info":[],"doc_tag_info":[],"taxonomy_info":{"knowledge_base":[{"value":293,"label":"LearnDash MCP Server"}]},"featured_image_src_large":false,"comment_info":0,"knowledge_base_info":[{"term_name":"LearnDash MCP Server","term_url":"https:\/\/learndash.com\/support\/kb\/learndash-mcp-server\/","term_slug":"learndash-mcp-server"}],"knowledge_base_slug":["learndash-mcp-server"],"_links":{"self":[{"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/docs\/10966","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/comments?post=10966"}],"version-history":[{"count":3,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/docs\/10966\/revisions"}],"predecessor-version":[{"id":11233,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/docs\/10966\/revisions\/11233"}],"wp:attachment":[{"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/media?parent=10966"}],"wp:term":[{"taxonomy":"doc_category","embeddable":true,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/doc_category?post=10966"},{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/doc_tag?post=10966"},{"taxonomy":"knowledge_base","embeddable":true,"href":"https:\/\/learndash.com\/support\/wp-json\/wp\/v2\/knowledge_base?post=10966"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}