Google Gemini

🚀 Quickstart

Connect to Google Gemini with Nango and see data flow in 2 minutes.

Create the integration

In Nango (free signup), go to Integrations -> Configure New Integration -> Google Gemini.

Authorize Google Gemini

Go to Connections -> Add Test Connection -> Authorize, then enter your Google Gemini API key. Later, you’ll let your users do the same directly from your app.

Call the Google Gemini API

Let’s make your first request to the Google Gemini API (list models). Replace the placeholders below with your API key, integration ID, and connection ID:

cURL
Node

curl "https://api.nango.dev/proxy/v1beta/models" \
  -H "Authorization: Bearer <NANGO-API-KEY>" \
  -H "Provider-Config-Key: <INTEGRATION-ID>" \
  -H "Connection-Id: <CONNECTION-ID>"

Install Nango’s backend SDK with npm i @nangohq/node. Then run:

import { Nango } from '@nangohq/node';

const nango = new Nango({ secretKey: '<NANGO-API-KEY>' });

const res = await nango.get({
    endpoint: '/v1beta/models',
    providerConfigKey: '<INTEGRATION-ID>',
    connectionId: '<CONNECTION-ID>'
});

console.log(res.data);

Or fetch credentials with the Node SDK or API.✅ You’re connected! Check the Logs tab in Nango to inspect requests.

Implement Nango in your app

Follow our Auth implementation guide to integrate Nango in your app.

📚 Google Gemini Integration Guides

Nango maintained guides for common use cases.

How do I link my Google Gemini account?
Learn how to generate your Google Gemini API key and authenticate with Google Gemini

Official docs: Google Gemini API docs

🧩 Pre-built syncs & actions for Google Gemini

Enable them in your dashboard. Extend and customize to fit your needs.

Others

Function name	Description	Type	Source code
`batch-embed-contents`	Generate embeddings for multiple text contents in a single request.	Action	🔗 Github
`count-tokens`	Count tokens for a given request without generating a response.	Action	🔗 Github
`delete-file`	Delete an uploaded file from the Gemini Files API.	Action	🔗 Github
`embed-content`	Generate a single embedding vector for text content.	Action	🔗 Github
`generate-content`	Generate content using a Gemini model with optional system instructions, tools, and generation config.	Action	🔗 Github
`get-file`	Retrieve metadata for a specific uploaded file.	Action	🔗 Github
`get-model`	Retrieve a specific Gemini model by name.	Action	🔗 Github
`list-cached-contents`	List cached content entries (context cache) with pagination.	Action	🔗 Github
`list-files`	List files uploaded to the Gemini Files API.	Action	🔗 Github
`list-models`	List available Gemini models with pagination.	Action	🔗 Github
`cached-contents`	Sync cached content entries (context cache)	Sync	🔗 Github
`models`	Sync available Gemini models	Sync	🔗 Github

Overview

900+ APIs & Integrations

🚀 Quickstart

📚 Google Gemini Integration Guides

🧩 Pre-built syncs & actions for Google Gemini

Others

​🚀 Quickstart

​📚 Google Gemini Integration Guides

​🧩 Pre-built syncs & actions for Google Gemini

​Others

🚀 Quickstart

📚 Google Gemini Integration Guides

🧩 Pre-built syncs & actions for Google Gemini

Others