Web-Scraping-Agent-with-N8N-and-MCP-Server
About
This project demonstrates how to create an AI-powered web scraping agent in n8n using MCP (Multi-Component Protocol) and Firecrawl. It is designed for beginners to build an autonomous scraping agent with tools and memory, triggered by chat messages.
Explore
- AI-powered web scraping triggered by chat messages
- Uses OpenAI (via OpenRouter) or Claude models for responses
- Integrates Firecrawl for real-time data extraction
- Maintains conversational context with Simple Memory
- Modular agent-as-a-tool pattern in n8n
- Supports optional Supabase and QuickChart integrations
---
---
🤖 AI Scraping Agent in n8n with MCP Server
This project demonstrates how to create a powerful, AI-powered web scraping agent in n8n using MCP (Multi-Component Protocol) and Firecrawl. The agent can receive a chat message, fetch relevant data from the internet via scraping, and respond intelligently using OpenAI or Claude models.
---
📌 Project Overview
This is the most beginner-friendly and hands-on tutorial for building an autonomous Scraping Agent with tools and memory capabilities using:
- 🧠 OpenAI Chat Model
- 🧰 MCP Tools
- 🗂️ Simple Memory
- 🌐 Firecrawl for web scraping
---
🧠 Agent Workflow (Chat-triggered)
The core agent is triggered when a chat message is received. It includes:
- Chat Model: Uses OpenAI (via OpenRouter)
- Memory: Context is maintained using Simple Memory
- Tool: Connects to MCP Client which communicates with the scraping server
🔧 Agent Setup
---
🖥️ MCP Server Workflow (Scraping Handler)
This is the actual scraping backend that receives the agent’s request, performs the scrape using Firecrawl, and sends structured results back.
🌐 MCP Server Setup
---
🧩 Components Used
| Component | Purpose |
|----------------------|-------------------------------------------|
| Agent (Tools Agent)| Orchestrates AI, Memory, and Scraping |
| OpenAI Chat Model | Understands and responds to user queries |
| Simple Memory | Stores previous messages / memory context|
| MCP Client | Forwards tasks to the MCP server |
| MCP Server Trigger | Starts the scraping backend |
| Scrape Tool | Uses Firecrawl to extract webpage data |
---
📚 What You'll Learn
- How to create and coordinate multiple AI agents in n8n
- Connecting OpenAI models with real-time tools
- Setting up an MCP Server inside n8n
- Ethical scraping using Firecrawl
- Using the agent-as-a-tool pattern for modular AI
---
⚙️ Technologies Used
- n8n
- OpenRouter
- Supabase (for optional DB storage)
- QuickChart.io (for optional visualization)
- Firecrawl for scraping
- [Claude / GPT-4] (for LLM reasoning)
- MCP Architecture
---
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
