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Explorer/MCP/clm-studios/nephyr-weather
✓ REGISTRY VERIFIEDREMOTE

nephyr-weather

clm-studios/nephyr-weather

GFS ensemble weather signals for prediction market edge detection. Generate weather-based trading signals across 12 major cities, retrieve multi-day forecasts, calculate prediction market edges from weather data, and discover active weather-related markets. Turn meteorological data into actionable market intelligence.

5 tools available
The Journeyman
A reasonable amount of history and nothing concerning in the scan.
Time indexed (5mo)
5toolsRemote/ HTTP5moindexed
100% uptime · 313ms avgChecked Aug 17, 2026
Quality Score
60/95
Established
Risk Score
0/100
Clean
How is this calculated?
Quality Breakdown
Tenure13.5/20
137 days indexed
Capability16/25
Tools: 4/13 (5 tools)
Description: 5/5
Endpoint: 7/7
Adoption5.1/25
Use count: 5.1/20 (18 uses)
Multi-registry: 0/5 (1 registry)
Reliability25/25
Currently live: 10/10
Uptime history: 15/15 100% (54/54 checks)
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0Clean
No signals detected.
The scanner shows
5 tools. Registry verified. Nothing caught our attention.
First indexed Apr 1, 2026
Server Profile
Tools catalogued
5
5 tools available. Full list below.
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
Registry presence
Verified
Listed on the Official MCP Registry under Linux Foundation governance.
Liveness
100%
Based on 48 checks. Average response: 313ms.
Publisher Verification
✓ Listed on the Official MCP Registry under Linux Foundation governance.
Endpoint
https://nephyr-weather--clm-studios.run.tools
Tools (5)
get_weather_signals
Get GFS ensemble weather signals for one or more cities on a given date. Returns model probability of daily high exceeding various thresholds, derived from the 31-member GFS ensemble forecast. Requires cities (list of city names) and forecast_date (YYYY-MM-DD). Optional: threshold_f (temperature threshold, default 70), direction (above/below, default above), market_type (high/low/rain, default high).
get_ensemble_forecast
Fetch the raw GFS 31-member ensemble forecast for a city on a given date. Returns per-member daily high temperatures, low temperatures, and precipitation. Useful for custom probability calculations or verifying signal generation.
detect_edges
Scan weather markets for edges — cases where the GFS model probability differs significantly from the market-implied probability. Requires a list of (signal, market) pairs. Returns all EdgeResults, or only tradeable ones if tradeable_only=True.
list_active_markets
List active weather markets on Polymarket or Kalshi. Optionally filter by city. Returns market tickers, prices, volumes, and metadata. Kalshi requires api_key to be provided.
get_city_info
Get coordinates and metadata for a supported city, or list all supported cities if no city is provided.

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