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

# Readray MCP server

Connect Readray to the agent you already use (Claude, Codex, …).

## Connect

**Claude**

**1. Open connector settings**

Go to **Settings → Connectors** and click **Add custom connector**.

**2. Fill in the fields**

| Field | Value |
| - | - |
| Name | `LilysAI` |
| Remote MCP server URL | `https://mcp.lilys.ai/mcp` |

**3. Connect**

Click **Connect** and sign in to Readray.

**Claude Code**

**1. Add it in your terminal**

```bash theme={null}
claude mcp add --transport http lilys https://mcp.lilys.ai/mcp
```

**2. Sign in**

In Claude Code, go to `/mcp` → **lilys** → **Authenticate**.

**Codex**

**1. Add it in your terminal**

```bash theme={null}
codex mcp add lilys --url https://mcp.lilys.ai/mcp
```

**2. Sign in**

```bash theme={null}
codex mcp login lilys
```

**Other**

If your app supports remote MCP servers, enter this address.

```
https://mcp.lilys.ai/mcp
```

When you first connect, you can choose to allow reading only, or creating notes as well.

## Example use cases

Ask your agent like this.

**Make a note from a YouTube video**

```text wrap theme={null}
Make a note from this video and put it in my Research folder. https://www.youtube.com/watch?v=...
```

**Find a saved note**

```text wrap theme={null}
Find the RAG notes I made last month and summarize just the key points.
```

**Compare several sources**

```text wrap theme={null}
Make notes from these three PDFs and compare their similarities and differences in a table.
```

## Learn more

> **[Tools](https://docs.lilys.ai/en/mcp-server/tools.md)**
>
> What your agent can do in Readray

> **[Credits](https://docs.lilys.ai/en/mcp-server/usage.md)**
>
> Which actions use credits

> **[FAQ](https://docs.lilys.ai/en/mcp-server/troubleshooting.md)**
>
> Where to look when you're stuck


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