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N8N-assistant
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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
Installing via Smithery
To install n8n-assistant for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @onurpolat05/n8n-assistant --client claude
Manual Installation
-
Clone this repository:
git clone <repository-url> 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.
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Reviews

user_2XiTUjQf
I have been using the Databricks MCP Server from MCP-Mirror and it has drastically improved my workflow. It provides seamless integration and powerful performance, making data processing and management efficient and straightforward. Highly recommend for anyone seeking robust server capabilities. Check it out via the link!