GOOGLE GEMINI API & FUNCTION CALLING

Google Gemini Function Declarations & Remote MCP

Empower Google Gemini 1.5 Pro & Flash models with structured operational function declarations and Remote MCP tools for automated infrastructure monitoring.

Get Gemini Keys in Dashboard Read Gemini Guide

Python `google-generativeai` SDK Integration

Initialize Gemini model with Monitor Hub OpenAPI schema tools.

Gemini 1.5 Ready
import google.generativeai as genai
import requests

# 1. Fetch Monitor Hub OpenAPI Tool Definitions
tools_schema = requests.get("https://mcp.monitorhubs.com/openapi.json").json()

# 2. Configure Gemini Pro Model
model = genai.GenerativeModel(
    model_name="gemini-1.5-pro",
    tools=[tools_schema]
)

# 3. Prompt Gemini with Live Infrastructure Question
response = model.generate_content(
    "What is the current CPU and RAM load on my servers?"
)

Integration Setup Steps

Add live infrastructure telemetry to your Gemini apps in 3 steps.

1

Get API Key

Generate an MCP API key (mcp_sk_live_...) or OAuth token in your Monitor Hub Dashboard.

2

Fetch OpenAPI Spec

Import https://mcp.monitorhubs.com/openapi.json as Gemini tools.

3

Execute & Respond

Gemini automatically triggers function calls and responds with real-time operational insights.