# How to access these docs from ChatGPT, Cursor, etc

🔗 **Ockam's docs are LLM-ready**: You can use `https://docs.ockam.io/llms-full.txt` to prompt large language models to understand and reason about Ockam using official documentation.

### How to Use Ockam's `llms-full.txt` with ChatGPT and Cursor

You can prompt AI tools to use Ockam's documentation by referencing our [LLM-ready index](https://docs.ockam.io/llms-full.txt). This helps large language models answer your questions using trusted, up-to-date information.

#### For ChatGPT (Pro users with GPT-4o)

1. Open [ChatGPT](https://chat.openai.com) and select **GPT-4o**.
2. Paste the following prompt:

   <pre data-full-width="true"><code>Use the full documentation at https://docs.ockam.io/llms-full.txt to answer questions about Ockam.
   </code></pre>
3. Then ask your question. For example:

   ```
   Can I bring my own HSM or Key Vault to store Ockam keys?
   ```

ChatGPT will now reference the docs listed in `llms-full.txt` to give more accurate answers.

***

#### ✅ For Cursor (AI coding editor)

Cursor supports web context and documentation lookups.

1. Open Cursor and activate the chat (Cmd+K or click the Chat icon).
2. Type:

   ```
   Use the full documentation at https://docs.ockam.io/llms-full.txt to help me with Ockam.
   ```
3. Ask follow-up questions like:

   ```
   Have the Ockam protocols been independently audited by cryptogrpahy experts? 
   ```

Cursor will incorporate the docs into its responses, making code completions and suggestions more relevant to Ockam.

***

#### 🔍 What is `llms-full.txt`?

This file is part of the **Model Context Protocol (MCP)** — a standard that allows developers to expose their full documentation to AI tools in a structured way.&#x20;


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# Agent Instructions: 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:

```
GET https://docs.ockam.io/readme/how-to-access-these-docs-from-chatgpt-cursor-etc.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

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.