MULTI-APP TOOLKIT
Build with Databricks + Google Gemini
- Multi-app
- One MCP session
- 45 actions
- 0 triggers
- Managed auth
MCP
One MCP session, both toolsets
One session gives your product or agent every Databricks and Google Gemini tool at once — connect once, list tools, and call them like any single-app session.
// 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": "databricks,google_gemini",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// One list, both toolsets: Databricks and Google Gemini tools arrive
// together, each keyed by its own app's slug.
// e.g. run Cancel All Runs:
const result = await mcp.callTool({
name: "databricks-cancel-all-runs",
arguments: {
jobId: "Job",
allQueuedRuns: true,
},
})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 externalUserId = "{external_user_id}" // any stable ID for this user in your system
const [databricksTools, googleGeminiTools] =
await Promise.all([
pd.components.list({ app: "databricks" }),
pd.components.list({ app: "google_gemini" }),
])
// One external user owns both connected accounts, so either app's tools
// run on their behalf with the same externalUserId.curl "https://api.pipedream.com/v1/connect/{project_id}/components?app=databricks" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}"
curl "https://api.pipedream.com/v1/connect/{project_id}/components?app=google_gemini" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}"
# Connect both accounts to the same external_user_id, then
# configure and invoke either app's tools on that user's behalf.ARCHITECTURE
One user, two connected accounts
Your user connects each account once, under whatever ID they already have in your product. The two stay independent — either can be revoked on its own — and your code reaches both through that one user.
Your product
external_user_id
{external_user_id}Pipedream Connect
Managed identity
Auth · tools · routing
Databricks
Connected account
Google Gemini
Connected account
TOOLS
Databricks tools
The Databricks tools this pairing puts in reach, each one running on your user's own connected account.
Actions top 8 of 42
-
Cancel All Runs
actionCancel all active runs for a job. The runs are canceled asynchronously, so it doesn't prevent new runs from being started. See the documentationWritev0.0.5 -
Cancel Run
actionCancel a job run. The run is canceled asynchronously, so it may still be running when this request completes. See the documentationWritev0.0.6 -
Create Endpoint
actionCreate a new vector search endpoint. See the documentationWritev0.0.6 -
Create Job
actionCreate a job. See the documentationWritev0.0.4 -
Create SQL Warehouse
actionCreates a new SQL Warehouse in Databricks. See the documentationWritev0.0.7 -
Create Vector Search Index
actionCreates a new vector search index in Databricks. See the documentationWritev0.0.3 -
Delete Data from Vector Search Index
actionDeletes rows from a Direct Access vector index by primary-key values. See the documentationWritev0.0.5 -
Delete Endpoint
actionDelete a vector search endpoint. See the documentationWritev0.0.5
Triggers
No Databricks triggers are available yet.
TOOLS
Google Gemini tools
The Google Gemini tools this pairing puts in reach, each one running on your user's own connected account.
Actions
-
Generate Content from Text
actionGenerates content from text input using the Google Gemini API. See the documentationWritev0.2.2 -
Generate Content from Text and Image
actionGenerates content from both text and image input using the Gemini API. See the documentationWritev1.0.3 -
Generate Embeddings
actionGenerate embeddings from text input using Google Gemini. See the documentationWritev0.0.2
Triggers
No Google Gemini triggers are available yet.
MULTI-APP
Works with more apps
The combinations customers connect alongside these two — nothing here is limited to a pair.
REFERENCE
Toolkit details
- x-pd-app-slug
- databricks,google_gemini
- Primary app
- Databricks (databricks)
- Second app
- Google Gemini (google_gemini)
- Authentication
- API key + API key
- Available actions
- 45
- Available triggers
- 0