kibana

# Kibana

Access Kibana saved objects, dashboards, data views, spaces, alerts, and fleet via managed API authentication.

## Quick Start

```bash
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://gateway.maton.ai/kibana/api/saved_objects/_find?type=dashboard')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('kbn-xsrf', 'true')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
```

## Base URL

```
https://gateway.maton.ai/kibana/{native-api-path}
```

The gateway proxies requests to your Kibana instance and automatically injects authentication.

## Authentication

All requests require the Maton API key and the `kbn-xsrf` header:

```
Authorization: Bearer $MATON_API_KEY
kbn-xsrf: true
```

**Environment Variable:** Set your API key as `MATON_API_KEY`:

```bash
export MATON_API_KEY="YOUR_API_KEY"
```

### Getting Your API Key

1. Sign in or create an account at [maton.ai](https://maton.ai)
2. Go to [maton.ai/settings](https://maton.ai/settings)
3. Copy your API key

## Connection Management

Manage your Kibana connections at `https://ctrl.maton.ai`.

### List Connections

```bash
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections?app=kibana&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
```

### Create Connection

```bash
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'kibana'}).encode()
req = urllib.request.Request('https://ctrl.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
```

Open the returned `url` in a browser to complete authentication. You'll need to provide your Kibana AP...