MCP server on n8n: read, search and research web conten

This automation template implements an MCP server in n8n that enables AI agents to securely retrieve and process web content through a unified entry point. Integration with Jina AI Tool allows high-quality content extraction, web search, and deep research without direct management of external APIs.

## Who it´s for
- AI agent developers using MCP to extend capabilities.
- Engineers integrating external data sources into LLM applications.
- Teams building AI agents with real-time internet access.
- Automation specialists seeking a standardized API interface for web content.

## What the automation does
- Receives requests from AI agents via HTTP webhook in MCP format.
- Dynamically identifies operation type: URL reading, search, or deep research.
- Uses Jina AI to extract page content, fetch search results, or analyze multiple sources.
- Formats response into structured JSON with metadata and cleaned text.
- Returns data back to the agent with error handling and logging.

## What´s included
- Ready-to-use n8n workflow.
- Logic for processing MCP requests using $fromAI() expressions.
- Integrations with Jina AI and Webhook API.
- Support for LangChain MCP standards.
- Basic text instructions for launch and adaptation.

## Requirements for setup
- n8n instance (self-hosted or cloud).
- Jina AI API key.
- Server accessible for incoming webhooks (or ngrok for tunneling).

## Benefits and outcomes
- Simplifies AI interaction with external web sources.
- Centralizes data access via a single MCP endpoint.
- Cleans and structures content before sending to LLMs.
- Reduces load on AI agents by offloading routine tasks.
- Enables scalability with modular design.
- Compatible with any platform supporting MCP.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.