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Charlotte Area Transit (CATS)

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
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Live CATS bus and light rail positions and arrival predictions from the agency's GTFS-Realtime feeds

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Charlotte Area Transit (CATS), and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

QueensCoach ♔♘

CI

QueensCoach is an MCP server for Charlotte Area Transit System (CATS) buses and light rail, built on the agency's public GTFS schedule and GTFS-Realtime feeds. It plans trips, predicts arrivals, reads the timetable, describes routes, and reports service alerts. It runs over stdio, launched by the MCP client that uses it, or over HTTP with Google OAuth in front of it, for a hosted server. Both transports serve the same tools and resources.

Hosted server

A public instance runs on Google Cloud Run. Sign in with any Google account:

Code
https://queenscoach.adamwanninger.com/mcp

There is zero guarantee of uptime. The hosted server is provided as-is. It may be slow, down, switched off by its spending cap, or retired without notice. For anything you rely on, run your own: over stdio, or on your own Google Cloud project with deploy/GCP.md.

Signing in tells the server your Google account's email address, which is used only to decide whether to admit you, and is never stored. The tokens it issues record your account's opaque Google ID and nothing else about you. A location you share with a tool arrives as an argument to that call, is used to answer it, and is not stored. The privacy policy and terms of service cover the hosted server.

Adding it to Claude

Claude calls a remote MCP server a connector. Custom connectors are available on Claude's paid plans.

  1. Open Settings → Connectors. On the web that's claude.ai/settings/connectors; in the desktop app, Settings then Connectors.
  2. Click Add custom connector at the bottom of the list.
  3. Give it a name, QueensCoach, and paste the URL above as the remote MCP server URL. Leave the advanced OAuth fields empty: this server registers your client automatically.
  4. Click Add, then Connect on the connector that appears. A browser window opens for the Google sign-in; approve it and it closes itself.
  5. In a chat, open the tools menu and check that QueensCoach is enabled. Its seven tools then appear.

The connector belongs to your Claude account, so it follows you across web, desktop, and mobile. To disconnect, remove it from that same Connectors page; that revokes the tokens this server issued.

Adding it to Claude Code

Terminal
claude mcp add --transport http queenscoach https://queenscoach.adamwanninger.com/mcp

Then run /mcp, pick queenscoach, and choose Authenticate, which opens the same Google sign-in. /mcp shows the connection's state afterwards. A server added this way loads when Claude Code next starts.

Any other client

Any MCP client that supports remote servers over streamable HTTP with OAuth works: give it the same URL and it discovers the rest.

Tools

ToolPurpose
plan_tripTrips between two places by bus and train, with walking and transfers, adjusted by live delays.
get_arrivalsLive predicted arrivals at a named stop, or at the station nearest a location.
get_scheduleThe published timetable at a stop for any date: departures, first and last trips.
get_routeOne route on a date: destinations, stops in order, hours, and how often it runs.
get_service_alertsCurrent and upcoming detours and disruptions, system-wide or for a route, stop, or place.
list_stopsStops and stations with the routes serving each, nearest first from a location.
list_vehiclesGPS positions of buses and trains in service: one by number, a route's, or all of them.

Ask Claude "what's the closest train station to me?", "when's the next train at my stop?", or "how do I get to the airport from here?" and it passes your device's location to the tools. The server never sees a location it isn't handed, so this needs a client that shares the device's location with the model.

plan_trip

ArgumentTypeNotes
origin_stopstringWhere to start: a stop id, code, or name.
origin_latitude, origin_longitudenumberOr start from a location, walking to nearby stops.
destination_stopstringWhere to go: a stop id, code, or name.
destination_latitude, destination_longitudenumberOr finish at a location.
dateYYYY-MM-DDService date in Charlotte (default today).
depart_atHH:MMLeave no earlier than this. Default: now.
arrive_byHH:MMOr arrive no later than this.
max_transfersinteger0 to 3 (default 2).
max_walk_metersintegerLongest walk to the first stop or from the last, 100 to 2000 (default 800).

Returns up to three itineraries, each with walking and riding legs: the route, the vehicle's real destination, where to board and get off, times, the wait at each transfer, and stops travelled. Journeys with more transfers are offered only when they arrive sooner (or, for arrive_by, leave later). For trips starting within three hours of now, rides carry live delays and are marked live. walkingIsAnOption appears when the two places are within the walking limit of each other.

Walking is an estimate: the straight-line distance stretched by 30%, at 4.5 km/h. The feed has no street map, so real walks can be longer. Transfers allow up to 400 m on foot and two minutes of slack.

get_arrivals

ArgumentTypeNotes
stopstringStop id (02400), stop code, or part of a stop name (CTC Station).
latitude, longitudenumberInstead of stop: use the nearest station to this location.
routestringOptional route filter.
modebus | trainOptional filter.
limitintegerMax arrivals (default 10, cap 50).

Give either stop or a location. With a location, the filters choose the station too: mode: train finds the nearest stop a train calls at, not a closer bus stop, and the response carries its metersAway.

Returns minutes away, predicted and scheduled times, schedule deviation, the vehicle number, the platform (stopId), and that vehicle's live position. When a name query is ambiguous, the best match is used and the runners-up are listed under otherStopsMatchingQuery. Current service alerts affecting the stop or its routes are attached as serviceAlerts, in the same shape get_service_alerts returns. For times beyond the next hour or so, use get_schedule.

get_schedule

ArgumentTypeNotes
stopstringStop id, code, or name.
latitude, longitudenumberOr the nearest stop serving the route or mode.
routestringOptional route filter.
modebus | trainOptional filter.
dateYYYY-MM-DDService date (default today).
after, beforeHH:MMTime window. after defaults to now today, or the start of service.
limitintegerMax departures (default 20, cap 100).

Scheduled departures with each trip's route and destination, plus firstDeparture and lastDeparture for the day. A service day runs past midnight, as GTFS does: the last trains of Tuesday leave at 1:31 am on Wednesday, and 25:30 in after or before means 1:30 am that night. Use get_arrivals for live predictions.

get_route

ArgumentTypeNotes
routestringRequired. 9, 501, Blue Line, Airport.
dateYYYY-MM-DDService date (default today).

For each direction: the destination, the stops in order (following the pattern most trips use, with any others summarized), first and last departure, and the typical minutes between trips in the early morning, morning rush, midday, afternoon rush, evening, and late night. Also trips on each of the next seven days and the number of active alerts. A query matching several routes lists them instead.

get_service_alerts

ArgumentTypeNotes
routestringAlerts naming the route or any stop it serves.
stopstringAlerts naming the station or any route serving it.
latitude, longitudenumberAlerts affecting stops within 800 m.

Give at most one; with none, every alert. Ended alerts are left out. Each alert has its headline, description, effect and cause with CATS's detail text, whether it is active or upcoming, its periods (untilFurtherNotice for open-ended ones), and the routes and stops it names.

list_stops

ArgumentTypeNotes
latitude, longitudenumberA location; results are then nearest first, with metersAway.
querystringStop id, stop code, or part of a stop name.
routestringOnly stops this route serves.
modebus | trainOnly stops with that service, e.g. train for the nearest rail station.
limitintegerMax stations (default 10 with a location, 250 without; cap 250).

Each station lists its stopIds, coordinates, modes, and routes (id, number, long name, mode): for example 501 · Light Rail - Lynx Blue Line, 510 · CityLYNX Gold Line, or bus routes like 29. Stops no scheduled trip calls at are left out, and nothing farther than 50 km from the location is returned.

list_vehicles

ArgumentTypeNotes
vehiclestringVehicle number as shown on the bus/train, e.g. 2301, LRV307.
routestringRoute: 9, 501, Blue Line, Mt. Holly Road.
modebus | trainOptional filter.
limitintegerMax vehicles to return (default and cap: 250).

Read the full README →View source on GitHub →

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Frequently Asked Questions about Charlotte Area Transit (CATS)

We don't have a confirmed install command for Charlotte Area Transit (CATS) yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/ajwann/queenscoach) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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28Quality signal: Emerging · 28/100How this signal is calculated ▾
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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

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Documentation & tools12/30
Adoption & activity1/15
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