CONNECT APP

Build with LearnWorlds

Create and sell online courses from your own website. The best online course platform for creating, selling and promoting your online courses. Start monetizing your skills, experiences and your audience.

Learning & Education

OAuth

Visit LearnWorlds ↗ Start building

MCP

Give your agent LearnWorlds tools

Every LearnWorlds action is exposed as an MCP tool on Pipedream's remote server. Point a client at it with your end user's ID and Connect resolves that user's LearnWorlds account for each tool call — you store no tokens.

Pipedream Connect

// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": "{project_id}",
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "learnworlds",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Enroll User:
const result = await mcp.callTool({
  name: "learnworlds-enroll-user",
  arguments: {
    userId: "User Id",
    productType: "Product Type",
  },
})

# access_token: mint a short-lived token with the Connect SDK — see the MCP guide
headers = {
    "Authorization": f"Bearer {access_token}",
    "x-pd-project-id": "{project_id}",
    "x-pd-environment": "production",
    "x-pd-external-user-id": "{external_user_id}",  # any stable ID for this user in your system
    "x-pd-app-slug": "learnworlds",
}

async with streamablehttp_client("https://remote.mcp.pipedream.net/v3", headers=headers) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        tools = await session.list_tools()

        # e.g. run Enroll User:
        result = await session.call_tool("learnworlds-enroll-user", {
            "userId": "User Id",
            "productType": "Product Type",
        })

MCP guide →

API PROXY

Call the LearnWorlds API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the LearnWorlds API with the connected user's credentials attached. You store no tokens and write no refresh logic.

Pipedream Connect

const resp = await pd.proxy.get({
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  accountId: "apn_xxxxxxx",
  url: "https://api.example.com/v1/me",
})

// Any allowed LearnWorlds endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.

# The path segment is the target URL, URL-safe base64 encoded:
# https://api.example.com/v1/me

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkuZXhhbXBsZS5jb20vdjEvbWU?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"

API proxy guide →

SDK

Run LearnWorlds actions from your backend

Connect a user's LearnWorlds account once, then run Enroll User on their behalf from your own code — TypeScript, Python, or plain HTTP.

Pipedream Connect

import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "learnworlds-enroll-user",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    learnworlds: { authProvisionId: "apn_xxxxxxx" },
    userId: "User Id",
    productType: "Product Type",
  },
})

from pipedream import Pipedream

pd = Pipedream(
    client_id="{oauth_client_id}",
    client_secret="{oauth_client_secret}",
    project_id="{project_id}",
    project_environment="production",
)

result = pd.actions.run(
    id="learnworlds-enroll-user",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "learnworlds": {"authProvisionId": "apn_xxxxxxx"},
        "userId": "User Id",
        "productType": "Product Type",
    },
)

curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "learnworlds-enroll-user",
    "configured_props": {
      "learnworlds": { "authProvisionId": "apn_xxxxxxx" },
      "userId": "User Id",
      "productType": "Product Type"
    }
  }'