# Gemini Integration

Canonical: https://www.aiventic.ai/integrations/google-gemini

Your service experience, inside Gemini

If your company runs on Google, your agents probably do too. Connect Gemini to Aiventic and it can answer from the repairs your company has already closed: what failed, what fixed it, and what to bring next time.

- Category: Agent Harness
- Status: Available

## What syncs

- find_similar_repairs: past jobs on the same model and symptom, and which fixes held
- get_failure_patterns: what tends to fail on a model, and when
- predict_required_parts: the parts a job is likely to need, before dispatch
- prepare_service_call: likely cause, parts, questions to ask, and the best tech for the job

## What Aiventic adds

### Answers from your own jobs

Gemini knows equipment in general. Through Aiventic it answers from the repairs your company has closed, with the evidence behind each answer.

### Scoped and logged

OAuth for MCP clients and scoped API keys for server-to-server calls. Each agent gets only the tools you allow, and every call is logged.

### Your data stays yours

Your service history isn’t used to train models for anyone else.

### Pay for what agents use

Usage-based: each tool call is metered, and no seat plan is required.

## FAQ

### How do we connect Gemini?

Connect Gemini-based agents to the Aiventic MCP server, or call the REST API with a scoped key.

### What can Gemini do with Aiventic?

Look up similar past repairs, failure patterns by model, and the parts past jobs used, and prepare a service call with the likely cause, parts, and questions to ask. Everything comes from your own service history and documentation.

### How is it priced?

By usage. Each MCP tool call or API request is metered, and you don’t need a seat plan. Contact us for current rates.

### Is our data used to train models?

No. Your service history isn’t used to train models for anyone else, and each agent only reaches the tools you allow.

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