opinet-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPINET_API_KEY | Yes | Your API key issued from the Opinet (Korea National Oil Corporation) free API service (https://www.opinet.co.kr/) |
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
| Name | Description |
|---|---|
No tools | |
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 5 tools
Each tool targets a distinct data view (cheapest stations, national average, historical trends, regional averages, single station details). While all relate to fuel prices, the scope filters (top20, 7-day history, sido codes) create clear boundaries.
All tools use consistent snake_case with a 'get_' verb prefix followed by descriptive noun phrases (lowest_price_top20, national_average_price, etc.). The pattern is predictable throughout.
Five tools cover the essential read-only queries for a fuel price information service without bloat. The scope is well-contained, though an additional search-by-radius or brand filter could round it out.
Core price discovery workflows are covered: finding cheap stations, checking averages at national/regional levels, viewing trends, and drilling into station details. Minor gaps include no brand-specific queries or historical data beyond 7 days.