> For the complete documentation index, see [llms.txt](https://developers.oxylabs.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.oxylabs.io/ai-workflows/overview.md).

# Overview

Learn how to use Oxylabs products in your AI workflows through agent-native integrations.

Explore key methods for powering your LLM-driven projects with live web data, covering essential setups, tools, and troubleshooting.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><h4>Agent Skills</h4></td><td>Configure AI tools and coding assistants for web data collection.</td><td><a href="/ai-workflows/agent-skills.md">Agent Skills</a></td></tr><tr><td><h4><strong>Model Context Protocol (MCP)</strong></h4></td><td>Give AI assistants live web scraping, search, and extraction tools.</td><td><a href="/ai-workflows/mcp.md">Model Context Protocol (MCP)</a></td></tr><tr><td><h4><strong>LlamaIndex</strong></h4></td><td>Ingest online content and build LLM-driven workflows.</td><td><a href="/ai-workflows/llamaindex.md">LlamaIndex</a></td></tr><tr><td><h4><strong>LangChain</strong></h4></td><td>Pull web-data and feed it into LLM workflows in one pipeline.</td><td><a href="/ai-workflows/langchain.md">LangChain</a></td></tr></tbody></table>


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# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://developers.oxylabs.io/ai-workflows/overview.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.