Weather Edge MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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_weather_signalsA | Get calibrated edge signals for one city's Kalshi weather markets. Args: city: One of nyc, chicago, denver, miami, la. |
| get_all_signalsA | Run a full scan across all supported cities and rank top weather-market signals. |
| get_forecastC | Get raw calibrated forecast context for one supported city. Args: city: One of nyc, chicago, denver, miami, la. |
| get_station_observationB | Get the latest METAR observation from the settlement station for one city. Args: city: One of nyc, chicago, denver, miami, la. |
| list_citiesA | List supported cities, settlement stations, and calibration parameters. |
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 has a distinct purpose: listing cities, getting forecasts, getting observations, getting signals for one city, and scanning all cities. No overlap in functionality.
All tool names follow a consistent verb_noun pattern (get_* and list_cities), with no mixing of conventions or ambiguous verbs.
5 tools is well-scoped for a weather market server covering 5 cities. Each tool provides essential functionality without redundancy.
The tool set covers key operations: listing cities, retrieving raw data (forecast, observation), and market signals. A minor gap is the lack of a combined retrieval for all cities' raw data, but overall coverage is solid.