> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lynq.am/llms.txt
> Use this file to discover all available pages before exploring further.

# Build with AI

> Connect your coding agent to the Lynq docs through MCP, a skill, or plain-text files.

If you build with a coding agent, give it these docs directly instead of letting it answer from memory. There are three ways, from most to least integrated.

## MCP server

The docs have a public MCP server. It needs no API key and lets an agent search the docs and read full pages while it works.

```text theme={null}
https://docs.lynq.am/mcp
```

> [tab] Claude Code
>
> ```bash theme={null}
> claude mcp add --transport http lynq-docs https://docs.lynq.am/mcp
> ```

> [tab] Cursor and VS Code
>
> Open the menu next to **Copy page** at the top of any docs page and choose **Connect to Cursor** or **Connect to VS Code**.

> [tab] Other clients
>
> Add a remote HTTP server with the URL above. The same menu has **Copy MCP Server** and **Copy MCP install command**.

## Skill

The Lynq skill is a single file that tells an agent how a Lynq integration fits together: which key goes where, when to create a Payment Intent, and why fulfilment waits for the webhook. Agents connected to the MCP server get it automatically. To install it on its own:

```bash theme={null}
npx skills add https://docs.lynq.am
```

You can read it at [docs.lynq.am/skill.md](https://docs.lynq.am/skill.md).

## Plain text

For a chat window or a tool without MCP:

| File | Contents |
| - | - |
| [`/llms.txt`](https://docs.lynq.am/llms.txt) | An index of every page with a one-line description. |
| [`/llms-full.txt`](https://docs.lynq.am/llms-full.txt) | The full text of the docs in one file. |
| Any page with `.md` added | That page as Markdown, for example [`/start/quickstart.md`](https://docs.lynq.am/start/quickstart.md). |

**Copy page** at the top of each page copies the same Markdown.

> [!WARNING]
>
> Never paste a secret API key, client secret, or webhook signing secret into an AI tool. Give the agent the name of the environment variable instead.


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