gtfs-pro-mcp
Integrates with a WordPress site running the WP GTFS Pro plugin to provide live transit data including stops, departures, routes, vehicle positions, and service alerts via the site's REST API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gtfs-pro-mcpFind stops near the Empire State Building."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
gtfs-pro-mcp
A Model Context Protocol server that turns any WP GTFS Pro transit site into a set of tools for AI assistants. Point it at an agency's WordPress site and Claude, ChatGPT, or any other MCP-compatible client can answer rider questions from the agency's live GTFS and GTFS-Realtime data — nearest stops, next departures, routes, live bus positions, and service alerts.
It talks to the site's public REST API (/wp-json/wp-gtfs-pro/v1/*) — no plugins,
no database access, no credentials required. One MCP server covers one transit site
(which may host multiple agency feeds).
Why this exists: the only other transit MCP servers are single-agency, hard-coded hobby projects. This one works with any GTFS Pro install, driven entirely by configuration.
Tools
Tool | What it does |
| List the transit feeds (agencies) configured on the site |
| Nearest stops to a lat/lon, with serving routes and next departures |
| Find stops by name, landmark, or stop code |
| Next departures from a specific stop, across all routes |
| A route's shape (path geometry) and the stops it serves |
| Every route in the system with its stops |
| Active GTFS-Realtime service alerts (empty = no active alerts) |
| Real-time vehicle positions (empty = none reporting right now) |
| Address / place name → coordinates, biased to the service area |
The realtime tools (get_service_alerts, get_live_vehicles) never error on
missing data — an empty result means "nothing active right now," not "no
service." The tool descriptions tell the AI this explicitly.
Requirements
Node.js 18 or newer
A transit website running WP GTFS Pro 1.5+ with its REST API publicly reachable
Configuration
Provide settings via a JSON config file or environment variables (env vars win where both are set). Only the site URL is required.
// gtfs-pro.config.json
{
"gtfs_pro_url": "https://your-agency-site.org",
"feed_id": "default",
"cache_ttl_seconds": 30,
"agency_name": "Your Transit Agency",
"agency_description": "Public transit serving ... (cities, landmarks, region)."
}Setting | Env var | Default | Notes |
|
| — (required) | Base URL of the WP GTFS Pro site |
|
|
| Default feed so the AI needn't pass one each call |
|
|
| Local response cache; protects the WP site |
|
| — | Shown in server metadata |
|
| — | Service-area context for the AI |
Pass a non-default config path with --config /path/to/config.json or the
GTFS_PRO_CONFIG env var.
Use with Claude Desktop
Edit claude_desktop_config.json (Settings → Developer → Edit Config) and add:
{
"mcpServers": {
"gtfs-pro-transit": {
"command": "npx",
"args": ["-y", "gtfs-pro-mcp"],
"env": {
"GTFS_PRO_URL": "https://your-agency-site.org",
"GTFS_PRO_FEED_ID": "default",
"GTFS_PRO_AGENCY_NAME": "Your Transit Agency"
}
}
}
}Restart Claude Desktop, then ask: "What bus stops are near <a place in the service area>?" or "When's the next bus from <stop name>?"
Use with ChatGPT / other MCP clients
Any client that launches a local stdio MCP server works the same way — run
npx -y gtfs-pro-mcp with the same environment variables, or install globally:
npm install -g gtfs-pro-mcp
GTFS_PRO_URL=https://your-agency-site.org gtfs-pro-mcpLocal development
npm install
npm run build # compile TypeScript to dist/
node test/smoke.mjs # exercise all 9 tools against a live siteHow it fits together
AI assistant ──MCP/stdio──► gtfs-pro-mcp ──HTTPS──► WP GTFS Pro REST API
(Claude, GPT) (this package) /wp-json/wp-gtfs-pro/v1/*A future release adds a Streamable-HTTP transport so the server can run as a hosted remote service (one endpoint per agency) instead of a local process.
License
GPL-2.0-or-later © Digital Mountaineers
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