mbta
Real-time MBTA transit predictions for Boston-area subway, bus, commuter rail, and ferry. Query departure times, search stops/routes, check service alerts, and run a live dashboard. Use when asked about Boston transit, T schedules, when to leave for the train, or MBTA service status.
Best use case
mbta is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Real-time MBTA transit predictions for Boston-area subway, bus, commuter rail, and ferry. Query departure times, search stops/routes, check service alerts, and run a live dashboard. Use when asked about Boston transit, T schedules, when to leave for the train, or MBTA service status.
Teams using mbta should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mbta/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mbta Compares
| Feature / Agent | mbta | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Real-time MBTA transit predictions for Boston-area subway, bus, commuter rail, and ferry. Query departure times, search stops/routes, check service alerts, and run a live dashboard. Use when asked about Boston transit, T schedules, when to leave for the train, or MBTA service status.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# MBTA Transit
Query real-time MBTA predictions via the v3 API.
## Setup
```bash
# Optional but recommended for higher rate limits
export MBTA_API_KEY=your_key_here # Free at https://api-v3.mbta.com/portal
# Install dependencies
pip install requests pyyaml flask # flask only needed for dashboard
```
## Quick Commands
```bash
cd skills/mbta
# Next departures from a stop
python scripts/mbta.py next --stop place-alfcl # Alewife
python scripts/mbta.py next --stop place-harsq --route Red # Harvard, Red Line only
# Search for stop IDs
python scripts/mbta.py stops --search "Porter"
python scripts/mbta.py stops --search "Kendall"
# List routes
python scripts/mbta.py routes # All routes
python scripts/mbta.py routes --type rail # Subway only
python scripts/mbta.py routes --type bus # Buses
# Service alerts
python scripts/mbta.py alerts # All alerts
python scripts/mbta.py alerts --route Red # Red Line alerts
# All configured departures (uses config.yaml)
python scripts/mbta.py departures --config config.yaml
# Start web dashboard
python scripts/mbta.py dashboard --config config.yaml --port 6639
```
## Configuration
Edit `config.yaml` to set up your stops:
```yaml
panels:
- title: "My Station"
walk_minutes: 5 # Filter out trains you can't catch
services:
- label: "Red Line"
destination: "to Alewife"
route_id: "Red"
stop_id: "place-harsq"
direction_id: 0 # 0 or 1 for direction
limit: 3
```
Key fields:
- `walk_minutes`: Trains departing sooner than this are filtered out
- `direction_id`: 0 = outbound/north, 1 = inbound/south (varies by line)
- `headsign_contains`: Optional filter (e.g., "Ashmont" to exclude Braintree)
## Finding Stop/Route IDs
```bash
# Search stops
python scripts/mbta.py stops --search "Davis"
# Returns: place-davis: Davis
# Get routes
python scripts/mbta.py routes --type rail
# Returns route IDs like "Red", "Orange", "Green-E"
```
## JSON Output
Add `--json` for machine-readable output:
```bash
python scripts/mbta.py next --stop place-alfcl --json
python scripts/mbta.py departures --config config.yaml --json
```
## Common Stop IDs
| Station | Stop ID |
|---------|---------|
| Alewife | place-alfcl |
| Harvard | place-harsq |
| Kendall/MIT | place-knncl |
| Park Street | place-pktrm |
| South Station | place-sstat |
| North Station | place-north |
| Back Bay | place-bbsta |
| Downtown Crossing | place-dwnxg |
## Answering User Questions
**"When's the next Red Line train?"**
```bash
python scripts/mbta.py next --stop place-alfcl --route Red
```
**"Should I leave now to catch the T?"**
Check departures against their walk time. If next train is ≤ walk_minutes, say "leave now!"
**"Are there any delays on the Orange Line?"**
```bash
python scripts/mbta.py alerts --route Orange
```
**"What buses go to Harvard?"**
```bash
python scripts/mbta.py stops --search "Harvard"
# Then check routes at that stop
python scripts/mbta.py next --stop <stop_id>
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