AI & Models · Integration
Google Cloud Natural Language
Add Google Cloud Natural Language to your product for your customers, and give your AI agents governed access to it.
Embed a Google Cloud Natural Language integration so your customers can analyse their own text in your product on their own Google Cloud credentials, which keeps usage and cost with the customer who caused them. Credentials are stored per tenant, the analysis types you enable are configuration rather than code, and every call is logged so a result can be traced to the request behind 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 sentiment analysis on their own text inside your product, on their own credentials.
Extract entities from free text so your product can structure what users typed.
Classify content into categories so records route themselves instead of waiting for a human.
Trigger analysis when new text arrives in your product and store the result against the record.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent runs sentiment analysis on a message before deciding how to escalate it.
An agent extracts entities from a document as a step inside a longer workflow.
An agent classifies incoming text within governed permissions, with the call logged.
Example prompt
Analyse this week's feedback comments and list the most negative ones with the entities each one mentions.
Set up Google Cloud Natural Language in 4 steps
- 01Open the Google Cloud Natural Language connector from your fastn dashboard.
- 02Have each customer authenticate their own Google Cloud project with least-privilege scopes.
- 03Enable the analysis types your product uses and map where results are stored.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the Google Cloud Natural Language integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Google Cloud Natural Language integration without building it. Your customers connect their own Google Cloud Natural Language 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 Cloud Natural Language update is not your on-call problem.
- One integration serves your product and your agents. The same governed Google Cloud Natural Language 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
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AmplitudeGoogle Cloud Natural Language integration FAQ
How do I add a Google Cloud Natural Language integration to my product?
Enable the Google Cloud Natural Language connector in your fastn dashboard, then let each customer authenticate their own Google Cloud Natural Language account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Google Cloud Natural Language 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 Cloud Natural Language account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Google Cloud Natural Language 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 Cloud Natural Language 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 runs sentiment analysis on a message before deciding how to escalate it.
Who maintains the Google Cloud Natural Language integration?
fastn does. When Google Cloud Natural Language 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 Cloud Natural Language API key and quota does each call use?
Each customer authorises their own Google Cloud Natural Language 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 Cloud Natural Language integration?
A common starting point: run sentiment analysis on their own text inside your product, on their own 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 Cloud Natural Language integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Google Cloud Natural Language does not change your per-connector cost. You can start free with 3 connected accounts.
Add Google Cloud Natural Language to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.