Web & Local Search - Jeremy Dawes

Overview

An n8n workflow that combines Brave Search API with Google Gemini via MCP (Model Context Protocol) to create an intelligent search system. Get comprehensive answers that combine web search results with AI analysis.

1,600+

Views

APIs

MCP

Protocol

How It Works

Receive Query - Accept search query via webhook or form
Brave Search - Fetch relevant web results
Content Extraction - Pull key content from top results
Gemini Analysis - AI synthesises information via MCP
Response - Return comprehensive answer with sources

Workflow Components

Input1

Webhook trigger

Web Search1

Brave Search API

Extraction1

Content parsing

AI1

Gemini MCP Server

Logic1

Result aggregation

Output1

Formatted response

Features

Dual-Source Intelligence - Web search + AI synthesis
MCP Integration - Uses Model Context Protocol for Gemini
Source Citations - Answers include links to sources
Local Search - Optional location-based filtering
Caching - Reduces API calls for repeated queries

What Makes It Different

Feature	Basic Search	This Workflow
AI Synthesis
Multi-Source
Source Citations
Local Results
Customisable

Example Query

Input: “Best coffee shops in Newcastle NSW with outdoor seating”

Output:

Based on current reviews and listings, here are the top options:

1. **Honeysuckle Hotel** - Waterfront location with extensive
   outdoor area. Known for quality coffee and breakfast.

2. **Café Inu** - Japanese-inspired café with courtyard seating.
   Specialty coffee and pastries.

3. **The Edwards** - Heritage building with street-side tables.
   Popular for brunch.

Sources:
- TripAdvisor Newcastle Coffee Shops
- Google Maps Reviews
- Time Out Newcastle Guide

Use Cases

Research Assistants - Answer complex queries with sources

Customer Support - AI-powered FAQ with web backup

Content Research - Gather information for writing

Local Discovery - Find businesses and services