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

# Install the skill

> Teach your AI coding assistant to drive the v3 API for you.

If you drive this API from an AI coding assistant like Cursor, Claude Code, or
Codex, install the Origami skills. They teach your assistant the v3 operations —
when to search, how to poll a Job, and when to read rows without spending
credits — so you can ask for a list and let it handle the rest.

## Install

Run the installer from your project directory. It installs every Origami skill
into the tool you choose.

```bash theme={null}
curl -fsSL https://origami.chat/skills/install.sh -o /tmp/origami-install.sh && sh /tmp/origami-install.sh
```

Then set `ORIGAMI_API_KEY=og_live_…` in your shell or project `.env` (create a
key in **Settings → Developers**), restart your AI tool, and try:

> Find 30 B2B SaaS founders in Austin who raised seed in 2025.

Re-run the installer any time to update the skills.

## Connect MCP

The live v3 MCP endpoint is `https://origami.chat/mcp`. It uses the same
`og_live_…` bearer as `/api/v3`. Point Cursor (or any MCP client) at:

```json theme={null}
{
  "mcpServers": {
    "origami": {
      "url": "https://origami.chat/mcp",
      "headers": {
        "Authorization": "Bearer og_live_…"
      }
    }
  }
}
```

Use that path. `https://mcp.origami.chat` is not a host.