N8n Asistans: No-Code Automation & Seamless Integration

N8n Asistans: Automate workflows, integrate apps flawlessly. No coding. Max efficiency. Boost productivity, fast.

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About N8n Asistans

What is N8n Asistans: No-Code Automation & Seamless Integration?

N8n Asistans is a user-friendly tool designed to simplify access to n8n’s resources without coding. It acts as a bridge between users and n8n’s documentation, workflow examples, and community discussions. Whether you’re troubleshooting a node or exploring automation ideas, this assistant helps you find answers faster—no technical jargon required.

How to use N8n Asistans: No-Code Automation & Seamless Integration?

Using N8n Asistans is straightforward:

Clone the repo and install dependencies via pip install -r requirements.txt.
Set your SERPER_API_KEY in the .env file.
Launch the server with uvicorn main:app --reload.
Query the assistant like await get_n8n_info("HTTP Request node", "docs") to fetch relevant info.

Pro tip: The MCP server setup makes integration with existing n8n workflows a breeze—just adjust the command parameters to match your directory.

N8n Asistans Features

Key Features of N8n Asistans: No-Code Automation & Seamless Integration?

Let’s break it down:

Instant Docs Access: Search n8n’s docs, workflows, and forums using natural language queries.
Clean Content Extraction: Uses BeautifulSoup to strip fluff from web results, delivering only the essentials.
Lightning Fast Responses: Asynchronous HTTP requests mean no waiting for slow page loads.

These features work together to save time—perfect for both new users and power-users debugging complex setups.

Use cases of N8n Asistans: No-Code Automation & Seamless Integration?

Here’s where it shines:

Quick Troubleshooting: “Why is my HTTP node failing?” → Get straight to the docs example.
Workflow Inspiration: Need a template for automation? Query examples to adapt instantly.
Community Support: Find answers from forums without navigating endless threads.
Integration Testing: Use the MCP server to test how your custom assistant interacts with n8n workflows.

N8n Asistans FAQ

FAQ from N8n Asistans: No-Code Automation & Seamless Integration?

Do I need coding skills? Nope! The assistant handles all the heavy lifting. Just tweak the API key and go.
Can I customize the search? Absolutely—modify the query parameters in the get_n8n_info() function to suit your needs.
What if I find a bug? Raise an issue on GitHub or submit a PR—community contributions are warmly welcomed!
Does it work with n8n cloud? Currently designed for self-hosted instances, but we’re exploring cloud integrations soon.

Still stuck? Check the MIT-licensed code—transparency is core to this project’s philosophy.

Content

n8n Assistant

This project contains a Multi-Channel Platform (MCP) server used to create an assistant integrated with n8n. The assistant can be used to search for n8n documentation, example workflows, and community forums.

Features

Web Search : Searches n8n documentation, workflows, and community forums based on a specific query.
HTML Content Fetching : Uses BeautifulSoup to extract the main content from search results.
Asynchronous Processing : Performs HTTP requests asynchronously, providing faster response times.

Requirements

Python 3.7 or higher
httpx library
beautifulsoup4 library
python-dotenv library

Installation

Clone this repository:

git clone

cd <repository-directory>

Install the required dependencies:

pip install -r requirements.txt
Create a .env file and add the necessary API keys:

SERPER_API_KEY=your_api_key_here

Usage

To start the assistant, run the following command:

uvicorn main:app --reload

Then, you can query the assistant for information related to n8n like this:

await get_n8n_info("HTTP Request node", "docs")

MCP Server

This project uses the n8n-asistans MCP server. The server is started with the following command:

{
    "mcpServers": {
        "n8n-asistans": {
            "command": "uv",
            "args": [
                "--directory",
                "/n8n-assistant",
                "run",
                "main.py"
            ],
            "env":{
                "SERPER_API_KEY": "*********"
            }
        }
    }
}

Contributing

If you would like to contribute, please create a pull request or report issues.

License

This project is licensed under the MIT License.