AI & Models · Integration
Google Gemini
Add Google Gemini to your product for your customers, and give your AI agents governed access to it.
Embed a Google Gemini integration so your customers can run model calls on their own Google credentials from inside your product, which keeps usage and cost with the customer who caused them rather than on one shared key. Credentials are stored per tenant, model and parameter choices are configuration rather than code, and every call is logged so a generated output can be traced back to the request that produced it. fastn handles credential storage, retries, and API upkeep.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers run generation and summarisation in your product on their own Gemini credentials.
Send text and other supported input types in a single request so multimodal features work per tenant.
Switch model or parameters per customer as configuration instead of shipping a release.
Log every request and response per tenant so usage is attributable and reviewable.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent calls Gemini as a reasoning or summarisation step inside a longer workflow.
An agent generates a draft from data it read from another connected system.
An agent classifies or extracts from customer content within governed permissions, with the call logged.
Example prompt
Summarise these support conversations into three themes and suggest a reply template for each.
Set up Google Gemini in 4 steps
- 01Open the Google Gemini connector from your fastn dashboard.
- 02Have each customer supply their own Google API credentials.
- 03Choose the model and parameters per customer, then enable the actions your product uses.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the Google Gemini integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Google Gemini integration without building it. Your customers connect their own Google Gemini account inside your product and work their models, requests and outputs there, with no per-customer code on your side.
- Handle the part that actually costs time: per-customer keys, quotas and cost attribution matter more than schema here, because every call is billed. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a Google Gemini update is not your on-call problem.
- One integration serves your product and your agents. The same governed Google Gemini connection powers in-product features and gives AI agents scoped, audited access, so you give your product and your agents a model call each customer pays for themselves without wiring it twice.
Used by these teams
Compare with
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AmplitudeGoogle Gemini integration FAQ
How do I add a Google Gemini integration to my product?
Enable the Google Gemini connector in your fastn dashboard, then let each customer authenticate their own Google Gemini account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Google Gemini client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Google Gemini account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Google Gemini account and only ever sees their own models, requests and outputs. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Google Gemini integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent calls Gemini as a reasoning or summarisation step inside a longer workflow.
Who maintains the Google Gemini integration?
fastn does. When Google Gemini changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Whose Google Gemini API key and quota does each call use?
Each customer authorises their own Google Gemini account, so usage, rate limits and cost land on the customer that caused them. You are not metering a shared key and re-billing it, and one heavy customer cannot exhaust another's quota.
Are inputs and outputs auditable?
Yes. Every call is logged per tenant with the call, the input and the result, so an output can be traced back to what produced it. That matters more here than in most integrations, because a generated answer or an extracted field cannot be reconstructed from the request alone.
What can I build with the Google Gemini integration?
A common starting point: run generation and summarisation in your product on their own Gemini credentials. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Google Gemini integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Google Gemini does not change your per-connector cost. You can start free with 3 connected accounts.
Add Google Gemini to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.