CONNECT APP
Build with Google Cloud Document AI
Artificial Intelligence (AI)
- API key
MCP
Give your agent Google Cloud Document AI tools
Every Google Cloud Document AI 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 Google Cloud Document AI account for each tool call — you store no tokens.
// 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": "google_cloud_document_ai",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// Every tool arrives with its own input schema — run one with mcp.callTool().# 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": "google_cloud_document_ai",
}
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()
# Every tool arrives with its own input schema — run one with call_tool().SDK
Run Google Cloud Document AI actions from your backend
Connect a user's Google Cloud Document AI account once, then discover and run its tools on their behalf from your own code — TypeScript, Python, or plain HTTP.
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 tools = await pd.components.list({
app: "google_cloud_document_ai",
componentType: "action",
})from pipedream import Pipedream
pd = Pipedream(
client_id="{oauth_client_id}",
client_secret="{oauth_client_secret}",
project_id="{project_id}",
project_environment="production",
)
tools = pd.components.list(
app="google_cloud_document_ai",
component_type="action",
)curl "https://api.pipedream.com/v1/connect/{project_id}/components?app=google_cloud_document_ai&component_type=action" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}"TOOLS
Google Cloud Document AI actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
No Google Cloud Document AI actions are available yet.
EVENTS
Google Cloud Document AI triggers
Event sources your backend can deploy for users and receive through a webhook.
No Google Cloud Document AI triggers are available yet.
MULTI-APP
Use Google Cloud Document AI with other popular apps
Most products don't stop at one integration. Pair Google Cloud Document AI with the other apps your users rely on, and ship use cases that span both.
REFERENCE
App details
Reference metadata for the Google Cloud Document AI connector in the Pipedream registry.
- App slug
- google_cloud_document_ai
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 0
- Triggers
- 0
- API proxy
- Not available