--- title: "Connect GrassBlade LRS to Agentset - APIANT.ai" description: "When \"New Statement\" fires in GrassBlade LRS, your agent runs \"Get document\" in Agentset." canonical: "https://apiant.ai/connect/grassblade-lrs-to-agentset" --- # Connect GrassBlade LRS to Agentset When **New Statement** fires in [GrassBlade LRS](https://apiant.ai/connections/grassblade-lrs), your agent runs **Get document** in [Agentset](https://apiant.ai/connections/agentset). Describe the whole flow and it is built, tested on every scenario and kept running. GrassBlade LRS **1** trigger GrassBlade LRS **1** action Agentset **13** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want GrassBlade LRS and Agentset 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 GrassBlade LRS can start in Agentset - When **New Statement** in GrassBlade LRS then **Get document** in Agentset - When **New Statement** in GrassBlade LRS then **Add ingest job** in Agentset 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 GrassBlade LRS and Agentset ## Triggers and actions 1 trigger · 14 actions - Trigger **New Statement** Triggers when a new xAPI statement is stored in the GrassBlade LRS, returning the learner, verb, activity, result and context of the statement. - Action **Create Statements** Records a learning activity statement (who did what to which activity) in your GrassBlade LRS. - Action **Add ingest job** Create an ingest job (text, file or URL payload). - Action **Add namespace** Create a namespace. - Action **Delete document** Delete a document. - Action **Delete ingest job** Delete an ingest job. - Action **Find chunks in namespace** Search a namespace (semantic search with query, topK, filters). - Action **Generate upload URL** Create presigned URL for file upload. - Action **Get document** Retrieve a document. - Action **Get ingest job** Retrieve an ingest job (status). - Action **Get namespace** Retrieve a namespace by id. - Action **List documents** Retrieve a list of documents. - Action **List ingest jobs** Retrieve a list of ingest jobs. - Action **List namespaces** Retrieve a list of namespaces. - Action **Update namespace** Update a namespace. ## Each app on its own - [ **GrassBlade LRS** GrassBlade LRS is a Learning Record Store and eLearning Analytics platform used for handling Experience API...](https://apiant.ai/connections/grassblade-lrs) - [ **Agentset** Open-source RAG platform for building AI chat/search apps with citations, ingestion, and retrieval...](https://apiant.ai/connections/agentset) Reviews ## What our customers say ## More from GrassBlade LRS - [ **GrassBlade LRS to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/grassblade-lrs-to-hubspot) - [ **GrassBlade LRS to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/grassblade-lrs-to-salesforce) - [ **GrassBlade LRS to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/grassblade-lrs-to-slack) - [ **GrassBlade LRS to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/grassblade-lrs-to-mailchimp) - [ **GrassBlade LRS to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/grassblade-lrs-to-stripe) - [ **GrassBlade LRS to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/grassblade-lrs-to-shopify) ## More into Agentset - [ **HubSpot to Agentset** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-agentset) - [ **Salesforce to Agentset** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-agentset) - [ **Slack to Agentset** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-agentset) - [ **Google Sheets to Agentset** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-agentset) - [ **Gmail to Agentset** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-agentset) - [ **Google Calendar to Agentset** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-agentset) Questions ## GrassBlade LRS and Agentset, answered ### ### What can start an automation from GrassBlade LRS? Any of GrassBlade LRS's 1 trigger in the catalog, including New Statement. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Agentset when something happens in GrassBlade LRS? Any of Agentset's 13 actions, including Update namespace, Add ingest job, Add namespace and Find chunks in namespace. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Agentset to GrassBlade LRS? Agentset has no triggers in the catalog today, so automations start in GrassBlade LRS. If you need the other direction, ask: your agent reads Agentset's API documentation and adds it. ### ### Do I have to build a connector for GrassBlade LRS or Agentset? 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 GrassBlade LRS and Agentset 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.