> For the complete documentation index, see [llms.txt](https://argos-ci.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://argos-ci.com/docs/agents/ai-ready-docs.md).

# AI-ready docs

This documentation is published with [GitBook](https://gitbook.com/docs/ai-and-search/llm-ready-docs), which exposes AI-friendly outputs for every page. Point your agent at these endpoints instead of letting it scrape HTML.

## Markdown for every page

Append `.md` to any page URL to get its raw Markdown:

```
https://argos-ci.com/docs/agents/mcp-server.md
```

## Site indexes: llms.txt and llms-full.txt

* [`https://argos-ci.com/docs/llms.txt`](https://argos-ci.com/docs/llms.txt) — an AI-friendly index of the whole documentation, listing every page with its Markdown URL. Give this to an agent so it can discover and fetch only the pages it needs.
* [`https://argos-ci.com/docs/llms-full.txt`](https://argos-ci.com/docs/llms-full.txt) — a full snapshot of the published documentation in one file, for tools that ingest everything at once.

## Docs MCP server

The documentation also exposes its own read-only MCP server, so MCP-compatible tools can search and read these docs directly:

```
https://argos-ci.com/docs/~gitbook/mcp
```

For example, with Claude Code:

```bash
claude mcp add --transport http argos-docs https://argos-ci.com/docs/~gitbook/mcp
```

{% hint style="info" %}
This docs MCP server answers questions about Argos from the documentation. To let an agent act on your Argos account — list builds, review changes, post comments — connect it to the [Argos MCP server](/docs/agents/mcp-server.md) instead.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://argos-ci.com/docs/agents/ai-ready-docs.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.

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.