MCP

Give your agent Apify tools

Every Apify 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 Apify 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": "apify",
      },
    },
  },
)

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

const { tools } = await mcp.listTools()

// e.g. run Get Dataset Items:
const result = await mcp.callTool({
  name: "apify-get-dataset-items",
  arguments: {
    datasetId: "Dataset ID",
    clean: true,
  },
})

# 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": "apify",
}

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 Get Dataset Items:
        result = await session.call_tool("apify-get-dataset-items", {
            "datasetId": "Dataset ID",
            "clean": True,
        })

MCP guide →

API PROXY

Call the Apify API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Apify 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.apify.com/v2/users/me",
})

// Any allowed Apify 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.apify.com/v2/users/me

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkuYXBpZnkuY29tL3YyL3VzZXJzL21l?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 Apify actions from your backend

Connect a user's Apify account once, then run Get Dataset Items 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: "apify-get-dataset-items",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    apify: { authProvisionId: "apn_xxxxxxx" },
    datasetId: "Dataset ID",
    clean: true,
  },
})

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="apify-get-dataset-items",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "apify": {"authProvisionId": "apn_xxxxxxx"},
        "datasetId": "Dataset ID",
        "clean": True,
    },
)

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": "apify-get-dataset-items",
    "configured_props": {
      "apify": { "authProvisionId": "apn_xxxxxxx" },
      "datasetId": "Dataset ID",
      "clean": true
    }
  }'