N8n Asistans

what is N8n Assistant? N8n Assistant is a Multi-Channel Platform (MCP) server designed to create an assistant integrated with n8n, enabling users to search for n8n documentation, example workflows, and community forums. how to use N8n Assistant? To use N8n Assistant, clone the repository, install the required dependencies, set up your API keys in a .env file, and run the server using the command uvicorn main:app --reload. You can then query the assistant for information related to n8n. key features of N8n Assistant? Web Search: Efficiently searches n8n documentation, workflows, and community forums based on user queries. HTML Content Fetching: Utilizes BeautifulSoup to extract relevant content from search results. Asynchronous Processing: Handles HTTP requests asynchronously for improved response times. use cases of N8n Assistant? Finding specific n8n documentation quickly. Accessing example workflows for better understanding. Engaging with community forums for troubleshooting and tips. FAQ from N8n Assistant? What are the requirements to run N8n Assistant? You need Python 3.7 or higher and specific libraries like httpx, beautifulsoup4, and python-dotenv. How do I install N8n Assistant? Clone the repository, install dependencies using pip install -r requirements.txt, and set up your API keys in a .env file. Can I contribute to N8n Assistant? Yes! Contributions are welcome through pull requests or issue reporting.

As an MCP (Model Context Protocol) server, N8n Asistans enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use N8n Assistant, clone the repository, install the required dependencies, set up your API keys in a .env file, and run the server using the command uvicorn main:app --reload. You can then query the assistant for information related to n8n. key features of N8n Assistant? Web Search: Efficiently searches n8n documentation, workflows, and community forums based on user queries. HTML Content Fetching: Utilizes BeautifulSoup to extract relevant content from search results. Asynchronous Processing: Handles HTTP requests asynchronously for improved response times. use cases of N8n Assistant? Finding specific n8n documentation quickly. Accessing example workflows for better understanding. Engaging with community forums for troubleshooting and tips. FAQ from N8n Assistant? What are the requirements to run N8n Assistant? You need Python 3.7 or higher and specific libraries like httpx, beautifulsoup4, and python-dotenv. How do I install N8n Assistant? Clone the repository, install dependencies using pip install -r requirements.txt, and set up your API keys in a .env file. Can I contribute to N8n Assistant? Yes! Contributions are welcome through pull requests or issue reporting.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.