# NYC Subway

> Use this tool when you need to navigate the NYC subway system efficiently, as it provides real-time information on train arrivals, service disruptions, and alternative routes. It solves problems such as planning commutes, avoiding delays, and finding nearby stations through intelligent station matching and location-based discovery. It takes in location and route inputs and outputs personalized transit recommendations and live updates.

Canonical page: https://skillsregistry.net/skills/sasabasara-nyc-subway  
JSON: https://api.skillsregistry.net/v1/skills/sasabasara-nyc-subway

## Description

Provides real-time NYC subway information through MTA GTFS feeds with automatic data management, intelligent station matching with fuzzy search, live train arrivals with delay predictions, service disruption analysis with alternative routes, and location-based station discovery for transit apps and commuter assistance.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sasabasara-nyc-subway)
- **Repository:** <https://github.com/sasabasara/where_is_my_train_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": "sasabasara-nyc-subway"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sasabasara-nyc-subway` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sasabasara-nyc-subway/pull`

---
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