Snf FAQs

Question 1

What is Snf and what are its core functionalities?

Accepted Answer

Snf is a Model Context Protocol (MCP) server written in OCaml. It provides robust capabilities for web search (via DuckDuckGo), Wikipedia article lookups, and versatile content extraction from web pages, available in both cleaned HTML and Markdown formats.

Question 2

Can Snf be integrated with large language models (LLMs) or other tools?

Accepted Answer

Absolutely. Snf is fully MCP-compatible and can be easily integrated with various LLM clients and tools that support the Model Context Protocol, such as `llm-tools-mcp` plugin, LMStudio, and Jan, operating in either HTTP or Standard I/O mode.

Question 3

What are the common use cases for Snf?

Accepted Answer

Snf is ideal for developers and data professionals needing programmatic access to web search results, Wikipedia data, and structured web content. Its MCP compatibility makes it particularly useful for enhancing LLM applications with real-time web context and knowledge retrieval for RAG (Retrieval Augmented Generation) workflows.

Question 4

How does Snf handle external service requests and rate limits?

Accepted Answer

Snf features built-in, intelligent rate limiting to ensure respectful usage of external services. It limits DuckDuckGo and Wikipedia searches to 30 requests per minute and web content fetching to 20 requests per minute, automatically pausing when limits are approached.

Question 5

What content formats can Snf extract from web pages?

Accepted Answer

Snf can fetch and parse content from any given URL, returning it in a cleaned-up HTML format or as Markdown. For higher quality Markdown extraction, it leverages the `trafilatura` Python library if available, falling back to Jina Reader otherwise.

Snf

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