Google Gemini

Live 30 Actions

Google Gemini Integration for AI Agents

Connect your AI agent to 30 Google Gemini actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in.

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Google Gemini AI Agent Actions

30 production-ready actions for your agent to do more on Google Gemini.

Read the Google Gemini docs

30 Actions

Create Cached Content - Cache content for reuse across multiple requests

Get Cached Content - Retrieve cached content details and status

List Cached Contents - List all cached content resources

Update Cached Content - Partially update cached content properties (extend TTL) — uses PATCH, not full replace

Delete Cached Content - Delete a cached content resource

Generate Content - Generate text content from a prompt using a Gemini model

Stream Generate Content - Stream generated content in real-time using Server-Sent Events

Batch Embed Contents - Generate embeddings for multiple items in a single synchronous call

Embed Content - Generate high-quality embedding vectors for text or multimodal content using Gemini embedding models

Async Batch Embed Content - Enqueue large batches of embedding requests for cost-effective asynchronous processing

Get File - Get metadata about an uploaded file

List Files - List all uploaded files

Delete File - Delete an uploaded file

Generate Image - Generate images using Imagen 4 models (paid account required)

List Models - List all available Gemini models

Get Model - Get details about a specific Gemini model

Get Operation Status - Get status of a long-running operation (batch, video generation, etc.)

Cancel Operation - Cancel a long-running operation

List Operations - List all long-running operations

Count Tokens - Count tokens in a prompt without generating content

Generate Video - Generate videos using Veo models (paid account or quota required)

Create File Search Store - Create an empty file search store for document indexing and retrieval

List File Search Stores - List all file search stores

Get File Search Store - Get details of a specific file search store

Delete File Search Store - Delete a file search store

Import File To Search Store - Import a file from the Files API into a file search store for semantic search

List File Search Store Documents - List all documents in a file search store

Get File Search Store Document - Get details of a specific document within a file search store

Delete File Search Store Document - Delete a specific document from a file search store

Do More, Build Less

Integration Infrastructure for Google Gemini AI Agents

Multiple Interfaces

Access integrations via API, AI SDKs, MCP & A2A.

Google Gemini MCP server

Managed Authentication

Pre-built authentication UI.

Agent auth

Falcon Engine

Every Google Gemini action runs on Falcon.

Agent Execution Engine

StackOne Defender

88.7% prompt injection detection.

Prompt injection defense

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"What impressed us most about StackOne is its ambition and clarity. They're creating infrastructure that modern software and the entire AI agent ecosystem can rely on. The depth of secure integrations, the pace of delivery, and the team's foresight into AI's future uniquely position StackOne to redefine this category."

Luna Schmid, Partner at GV

"We've been impressed by how quickly and deeply StackOne integrates with complex enterprise systems -- and now, with their focus on agent-to-agent interoperability, they're unlocking even more powerful use cases for customers. StackOne delivers all of the above in a universal layer -- without compromise."

Barbry McGann, SVP at Workday Ventures

Product Teams Love Building Agent Integrations With StackOne

IAM Permissions API

Case Study How Drata Broadened User Access Review Integrations through StackOne

Connectors for workflow builders

Case Study Introist uses StackOne to Launch New Enterprise-Grade Integrations and Expand Automation for HR Teams

Agentic Connectors

Case Study How Popp Built a Recruitment AI Agent with Enterprise ATS Integration in Weeks

Agentic Automation

Case Study How TYME Technologies scaled outbound 10× with agentic integrations

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Google Gemini AI agent integration resources

Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows

AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.

15 min

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Google Gemini integration FAQ

Do I need to create my own auth app to connect Google Gemini to StackOne?

Only if you use OAuth. Google Gemini also offers API key auth (no auth app needed). Generate a key in Google AI Studio and paste it into the StackOne dashboard auth config for the Google Gemini connector. For OAuth, you'd register an OAuth 2.0 Client ID in Google Cloud Console instead. See the Google Gemini auth docs.

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