Question 1

What is an MCP Server?

Accepted Answer

MCP stands for Model Context Protocol. An MCP server acts as a bridge, enabling AI models to access and interact with external data sources and tools.

Question 2

What are the prerequisites for using the Crawl4AI RAG MCP Server?

Accepted Answer

You need Docker or Python 3.12+, a Supabase account, and an OpenAI API key. See the Installation section for details.

Question 3

How does the Crawl4AI RAG MCP Server integrate with UBOS?

Accepted Answer

The Crawl4AI RAG MCP Server seamlessly integrates with the UBOS platform, allowing you to easily deploy and manage the server within your UBOS environment.

Question 4

What is RAG and why is it important?

Accepted Answer

RAG stands for Retrieval-Augmented Generation. It allows AI models to generate more contextually relevant and informative responses by retrieving information from external knowledge sources.

Question 5

What types of URLs can the smart_crawl_url tool handle?

Accepted Answer

It can handle regular webpages, sitemaps, and text files.

Question 6

What are the different RAG strategies and when should I use them?

Accepted Answer

The server supports Contextual Embeddings, Hybrid Search, Agentic RAG, and Reranking. See the RAG Strategy Options section for details on when to use each strategy.

Question 7

What is Agentic RAG and when should I use it?

Accepted Answer

Agentic RAG enables specialized code example extraction and storage, making it essential for AI coding assistants needing to find specific code implementations.

Question 8

How can I contribute to the development of the Crawl4AI RAG MCP Server?

Accepted Answer

You can contribute by submitting pull requests, reporting issues, or suggesting new features on the GitHub repository.

Question 9

Can I use other Vector Database instead of Supabase?

Accepted Answer

Currently Crawl4AI RAG MCP Server use Supabase as Vector Database. But in the future releases, there will be options for different Vector Databases.

Question 10

Can I use other Embedding models instead of OpenAI?

Accepted Answer

Currently Crawl4AI RAG MCP Server use OpenAI models. But in the future releases, there will be options for different Embedding models, even local.

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