# parking-recommendation

> parking-recommendation — devbluelemony-creator-malhaebwa-parking. Use this tool when you need to find convenient public parking in Seoul, as it solves the problem of searching for available parking spots by providing destination-based recommendations. It takes in a destination as input and outputs nearby public parking lots with estimated wait times, using real-time availability and historical statistics. Ideal for use when planning a trip to Seoul and wanting to minimize parking hassle.

Canonical page: https://skillsregistry.net/skills/devbluelemony-creator-malhaebwa-parking  
JSON: https://api.skillsregistry.net/v1/skills/devbluelemony-creator-malhaebwa-parking

## Description

Provides destination-based public parking lot recommendations in Seoul. It converts destinations to coordinates, finds nearby public parking lots, and estimates wait times using real-time availability and historical statistics.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ho5awapt1f)
- **Repository:** <https://github.com/devbluelemony-creator/malhaebwa-parking>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "devbluelemony-creator-malhaebwa-parking"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devbluelemony-creator-malhaebwa-parking` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devbluelemony-creator-malhaebwa-parking/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt