# BarrierFreeSeoul

> BarrierFreeSeoul — whtjdgns2121-dot-seoul-accessible-transit-mcp. Use this tool when you need to evaluate the accessibility of Seoul's public transit system for people with disabilities. It provides real-time information on elevator status, low-floor bus arrivals, and route verification, solving problems of navigation and planning for individuals with mobility impairments. With inputs of location and destination, it outputs accessible route options and call taxi fallbacks, making it ideal for use in transit planning and navigation contexts.

Canonical page: https://skillsregistry.net/skills/whtjdgns2121-dot-seoul-accessible-transit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/whtjdgns2121-dot-seoul-accessible-transit-mcp

## Description

Evaluates Seoul public transit accessibility for people with disabilities, providing real-time elevator status, low-floor bus arrivals, route verification, and call taxi fallback.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ez6pjspupr)
- **Repository:** <https://github.com/whtjdgns2121-dot/seoul-accessible-transit-mcp>

## 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": "whtjdgns2121-dot-seoul-accessible-transit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whtjdgns2121-dot-seoul-accessible-transit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whtjdgns2121-dot-seoul-accessible-transit-mcp/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