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MCP Integrations Google Gemini
MCP & AI Agent Integration

Google Gemini
automation.

7 AI agent actions for Google Gemini — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Google Gemini to send alerts, post updates, and coordinate team actions based on triggers. Full governance, audit trail, and dry-run safety on every execution.

Connect Google Gemini free Browse all integrations →
No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
7
actions
100%
governed
<200ms
latency
7
AI agent actions
3
Read operations
4
Write operations
0
High-risk actions (approval gated)
Communication Google Gemini is a Communication integration — use it to automate messaging, notifications, and team collaboration from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Google Gemini.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Count Tokens
google_gemini:count_tokens
Count the number of tokens in a text string using Google Gemini tokenizer.
Read Low risk
Get Model
google_gemini:get_model
Get detailed information about a specific Google Gemini model.
Read Low risk
List Models
google_gemini:list_models
List available Google Gemini models and their capabilities.
Read Low risk
Analyze Image
google_gemini:analyze_image
Analyze an image using Google Gemini Pro Vision model.
Write Medium risk
Chat
google_gemini:chat
Continue a chat conversation with Google Gemini, maintaining context from previous messages.
Write Medium risk
Embed Content
google_gemini:embed_content
Generate text embeddings using Google Gemini embedding models.
Write Medium risk
Generate Content
google_gemini:generate_content
Generate text content using Google Gemini AI model.
Write Medium risk
MCP & Runtime API

Call Google Gemini
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Google Gemini actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

google_gemini:count_tokens READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "google_gemini:count_tokens",
    "args": {},
    "execution_id": "agent-001"
  }'
google_gemini:analyze_image WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "google_gemini:analyze_image",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Google Gemini.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Google Gemini data
Call google_gemini:count_tokens via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Google Gemini
Dry-run validates google_gemini:analyze_image before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Message or alert triggered
Route to right channel
Notify relevant team
Log to audit trail
How it works

Every Google Gemini action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Google Gemini — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Google Gemini action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Google Gemini action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Google Gemini works best
alongside these.

Build multi-step workflows that connect Google Gemini to the rest of your stack. All governed. All audited.

Slack Gmail Microsoft Teams Discord Twilio
Google Gemini integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Google Gemini in minutes, dry-run every action before it touches production, full audit trail on everything.

Start free — 1,000 runs Browse all integrations →