golemio-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOLEMIO_API_KEY | Yes | API key for Golemio open data API. Get from https://api.golemio.cz/api-keys/ |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_bicycle_countersA | Get bicycle counting stations in Prague. |
| get_bicycle_detectionsA | Get bicycle traffic detection data from counting stations. |
| get_air_quality_stationsA | Get air quality monitoring stations in Prague. |
| get_waste_stationsA | Get sorted waste collection stations in Prague. |
| get_parking_lotsA | Get parking lot information and availability in Prague. |
| get_city_districtsA | Get Prague city district information. |
| get_medical_institutionsA | Get healthcare facilities in Prague. |
| get_municipal_librariesA | Get public library locations in Prague. |
| get_playgroundsA | Get public playground locations in Prague. |
| get_gardensA | Get public garden locations in Prague. |
| search_stopsA | Search for Prague public transit stops by name. |
| get_departuresA | Get upcoming departures from a Prague public transit stop. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 12 tools
Each tool targets a distinct resource type (bicycle counters, detections, air quality stations, etc.), and descriptions clarify the differences. The related bicycle counters/detections tools are clearly differentiated.
All tools follow a consistent verb_noun snake_case pattern (get_* or search_*), with only search_stops deviating from the get_ prefix to reflect its search functionality.
With 12 tools, the server covers a broad range of Prague city data without becoming unwieldy; the size is appropriate for the domain.
The toolset provides location lookups for many facility types and includes real-time departures and bicycle detections. However, some natural complementing operations are missing, such as air quality measurements or transit route information, leaving noticeable gaps.