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Glama
mirodn

mcp-server-public-transport

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
UK_TRANSPORT_APP_IDNoYour UK Transport API app ID
UK_TRANSPORT_API_KEYNoYour UK Transport API key

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
ch_search_connectionsA

Search for train connections in Switzerland between two stations. Uses transport.opendata.ch API to provide real-time connection data including departure times, duration, platforms, and transfers.

ch_search_stationsC

Search for Swiss train stations by name or location.

ch_get_departuresC

Get departure board for a Swiss train station with real-time information.

ch_nearby_stationsC

Find nearby Swiss train stations based on coordinates (latitude, longitude).

be_search_connectionsB

Search train connections in Belgium between two stations. Powered by iRail API for real-time routes and schedules.

be_search_stationsB

Search for Belgian train stations by name.

be_get_departuresB

Get live departure board for a Belgian train station.

be_get_vehicleA

Get details about a specific Belgian train vehicle by its ID.

no_search_placesC

Autocomplete search across stops/addresses/POIs in Norway via Entur Geocoder.

no_stop_departuresB

Upcoming departures for a StopPlace ID (e.g., 'NSR:StopPlace:58368').

no_tripC

Door-to-door trip planning between two StopPlaces (NSR IDs).

no_nearest_stopsB

Find nearest StopPlaces for a coordinate (lat, lon) within a radius in meters.

uk_live_departuresA

Get live departure information for a UK train station using its CRS code (e.g., 'PAD' for London Paddington, 'MAN' for Manchester Piccadilly). Uses the TransportAPI station timetables endpoint with live data.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 13 tools

Disambiguation4/5

Tools are clearly distinguished by country prefix (be_, ch_, no_, uk_) and specific functions like departures, connections, stations, and trips, with minimal overlap. However, some tools like be_get_departures and uk_live_departures serve similar purposes across different regions, which could cause minor confusion if an agent doesn't prioritize the country prefix.

Naming Consistency4/5

Naming follows a consistent pattern of country prefix + verb_noun (e.g., be_get_departures, ch_search_connections), with all tools using snake_case. Minor deviations include no_nearest_stops (using 'nearest' instead of 'search' or 'get') and no_trip (using a noun instead of verb_noun), but overall the convention is predictable and readable.

Tool Count5/5

With 13 tools, the count is well-scoped for a public transport server covering multiple countries (Belgium, Switzerland, Norway, UK). Each tool earns its place by providing distinct functionality per region, such as departures, connections, station searches, and trip planning, without being overly bloated or sparse.

Completeness4/5

The toolset offers comprehensive coverage for public transport queries across four countries, including core operations like searching stations, getting departures, and planning connections. Minor gaps exist, such as no tool for vehicle details outside Belgium or real-time alerts, but agents can work around these with the available tools for most common use cases.

Maintenance

ActivityMaintained
ResponsivenessNo issues