CONNECT APP
Build with Databox
Connect your data from any tool and track it from any device. No more logging into dozens of different tools to understand performance — now you and your team can easily connect your data, build and share reports, monitor trends, and discover insights.
Data Analytics
- API key
MCP
Give your agent Databox tools
Every Databox 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 Databox 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": "databox",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// e.g. run List Metric Key Options:
const result = await mcp.callTool({
name: "databox-list-metric-key-options",
arguments: {},
})# 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": "databox",
}
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 List Metric Key Options:
result = await session.call_tool("databox-list-metric-key-options", {})SDK
Run Databox actions from your backend
Connect a user's Databox account once, then run List Metric Key Options 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 result = await pd.actions.run({
id: "databox-list-metric-key-options",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
databox: { authProvisionId: "apn_xxxxxxx" },
},
})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="databox-list-metric-key-options",
external_user_id="{external_user_id}", # any stable ID for this user in your system
configured_props={
"databox": {"authProvisionId": "apn_xxxxxxx"},
},
)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": "databox-list-metric-key-options",
"configured_props": {
"databox": { "authProvisionId": "apn_xxxxxxx" }
}
}'TOOLS
Databox actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
EVENTS
Databox triggers
Event sources your backend can deploy for users and receive through a webhook.
No Databox triggers are available yet.
- App slug
- databox
- Authentication
- API key
- Categories
- Data Analytics
- Actions
- 2
- Triggers
- 0
- API proxy
- Not available