---
title: "Connect GrassBlade LRS to Wikidata - APIANT.ai"
description: "When \"New Statement\" fires in GrassBlade LRS, your agent runs \"List item statements\" in Wikidata."
canonical: "https://apiant.ai/connect/grassblade-lrs-to-wikidata"
---

# Connect GrassBlade LRS to Wikidata

When **New Statement** fires in [GrassBlade LRS](https://apiant.ai/connections/grassblade-lrs), your agent runs **List item statements** in [Wikidata](https://apiant.ai/connections/wikidata). Describe the whole flow and it is built, tested on every scenario and kept running.

GrassBlade LRS **1** trigger GrassBlade LRS **1** action Wikidata **5** 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 Wikidata 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 Wikidata

- When **New Statement** in GrassBlade LRS then **List item statements** in Wikidata
- When **New Statement** in GrassBlade LRS then **Find items by label** in Wikidata

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 Wikidata

## Triggers and actions 1 trigger · 6 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

**Find items by label**

Searches Wikidata items whose label or alias matches a search term in a given language.

- Action

**Find properties by label**

Searches Wikidata properties by label and aliases and returns the matching properties with their ids, labels and descriptions.

- Action

**Get item**

Returns a single Wikidata item by its ID, including its labels, descriptions, aliases, statements and sitelinks.

- Action

**Get property**

Returns a single Wikidata property by its ID, including its data type, labels, descriptions, aliases and statements.

- Action

**List item statements**

Returns the statements on a Wikidata item, grouped by property, optionally limited to one property.

## 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)
- [ **Wikidata** Collaboratively edited knowledge base operated by the Wikimedia Foundation](https://apiant.ai/connections/wikidata)

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 Wikidata

- [ **HubSpot to Wikidata** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-wikidata)
- [ **Salesforce to Wikidata** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-wikidata)
- [ **Slack to Wikidata** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-wikidata)
- [ **Google Sheets to Wikidata** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-wikidata)
- [ **Gmail to Wikidata** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-wikidata)
- [ **Google Calendar to Wikidata** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-wikidata)

Questions

## GrassBlade LRS and Wikidata, 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 Wikidata when something happens in GrassBlade LRS?

Any of Wikidata's 5 actions, including Find items by label, Find properties by label, Get item and Get property. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Wikidata to GrassBlade LRS?

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

###

### Do I have to build a connector for GrassBlade LRS or Wikidata?

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 Wikidata 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.
