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.
Details
- Author
- NarviAdil
- Downloads
- 365
- Categories
- AI, Web Scraping
Jump to
- 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
The agent is set up in n8n by creating a workflow with a Chat Trigger, an Agent node configured with OpenAI Chat Model and Simple Memory, connected to an MCP Client that communicates with an MCP Server Trigger using Firecrawl for scraping. The accompanying tutorial provides step-by-step setup instructions.
Web-Scraping-Agent-with-N8N-and-MCP-Server
Web Scraping Agent with N8N and MCP Server🤖 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.
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📌 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
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🧠 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
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🖥️ 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
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🧩 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 |
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📚 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
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⚙️ 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
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