> For the complete documentation index, see [llms.txt](https://docs.talordata.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.talordata.com/serp-api/integration/mcp-integration/set-up-web-mcp-with-n8n.md).

# Set up Web MCP with n8n

Connect the TalorData MCP server to n8n to build automated, no-code data workflows featuring web search, scraping, and structured extraction nodes. <br>

This guide explains how to integrate TalorData Web MCP with n8n to build automated, AI-driven workflows. You can connect the MCP to n8n via:
\
**Streamable HTTP MCP – the easiest cloud-based setup.**

### Streamable HTTP MCP Integration

For most users, Streamable HTTP is recommended. It enables n8n AI agents to interact with TalorData MCP via real-time streaming over HTTPS without requiring local setup.

#### Require

* Register for a [TalorData account](https://www.talordata.com/)
* Go to [SERP API-API Token](https://dashboard.talordata.com/scraping/serp-api/api-token/) to creat an API Token
* AI-powered workflows in n8n (e.g., AI agents)

### How to configure a remote MCP

{% stepper %}
{% step %}

#### Create an AI agent in n8n or your preferred AI orchestration platform.

{% endstep %}

{% step %}

#### Install the following components:

* Chat models (e.g., GPT-4, GPT-4o)
* MCP client node

{% endstep %}

{% step %}

#### Configure the remote MCP URL using your API token:

```
https://mcp.talordata.net/YOUR_API_TOKEN_HERE/mcp
```

{% endstep %}

{% step %}

#### Select MCP Tool

* Clearly and publicly disclose specific tools.
* Enable AI agents to dynamically select tools. Once configured, the AI ​​agent will invoke MCP tools as needed and stream responses back to your workflow in real time.
  {% endstep %}
  {% endstepper %}

#### When to Use Streamable HTTP

* No-code or low-code automation
* Rapid deployment with minimal infrastructure requirements
* Cloud-hosted n8n deployment
* Real-time, AI-powered data extraction