# Google Gemini — Pipedream Connect

> Google Gemini is a multimodal AI by DeepMind that processes text, audio, images, and more.

- API slug: `google_gemini` (use in MCP headers and tool keys)
- Auth: API key (Pipedream-managed)
- Categories: Artificial Intelligence (AI)
- Website: https://blog.google/technology/ai/google-gemini-pro-imagen-duet-ai-update/
- This page (HTML): https://pipedream.com/apps/google-gemini
- Tools: 3 actions · 0 triggers

## Connect via MCP (recommended)

- Endpoint: `https://remote.mcp.pipedream.net/v3`
- Headers: `Authorization: Bearer <token>` · `x-pd-project-id` · `x-pd-environment` · `x-pd-external-user-id` · `x-pd-app-slug: google_gemini`

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
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 accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_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_gemini",
      },
    },
  },
)

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

const { tools } = await mcp.listTools()

// e.g. run Generate Content from Text:
const result = await mcp.callTool({
  name: "google_gemini-generate-content-from-text",
  arguments: {
    model: "Model",
    text: "Prompt Text",
  },
})
```

Docs: [MCP guide](https://pipedream.com/docs/connect/mcp/developers.md)

## API proxy

For a Google Gemini endpoint with no pre-built tool, the proxy forwards your request with the connected user's credentials attached.

```bash
# The path segment is the target URL, URL-safe base64 encoded:
# https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9nZW5lcmF0aXZlbGFuZ3VhZ2UuZ29vZ2xlYXBpcy5jb20vdjFiZXRhL21vZGVscy9nZW1pbmktMS41LWZsYXNo?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"
```

Docs: [API proxy guide](https://pipedream.com/docs/connect/api-proxy.md)

## SDK

```ts
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: "google_gemini-generate-content-from-text",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    google_gemini: { authProvisionId: "apn_xxxxxxx" },
    model: "Model",
    text: "Prompt Text",
  },
})
```

Docs: [Managed auth guide](https://pipedream.com/docs/connect/managed-auth/quickstart.md) · [Tools guide](https://pipedream.com/docs/connect/components.md)

## Actions (3)

### `google_gemini-generate-content-from-text` — Generate Content from Text (Write)

Generates content from text input using the Google Gemini API. See the documentation

Full schema: https://pipedream.com/apps/google-gemini/actions/generate-content-from-text.md

### `google_gemini-generate-content-from-text-and-image` — Generate Content from Text and Image (Write)

Generates content from both text and image input using the Gemini API. See the documentation

Full schema: https://pipedream.com/apps/google-gemini/actions/generate-content-from-text-and-image.md

### `google_gemini-generate-embeddings` — Generate Embeddings (Write)

Generate embeddings from text input using Google Gemini. See the documentation

Full schema: https://pipedream.com/apps/google-gemini/actions/generate-embeddings.md

---

- All apps: https://pipedream.com/apps — index: https://pipedream.com/llms.txt
- Pipedream docs for agents: https://pipedream.com/docs/llms.txt