
Nephyr Weather
io.github.clm-studiosPublished by GitHub account clm-studiosv0.1.1Updated Oct 24, 2026
GFS ensemble weather signals for prediction market edge detection across 12 cities
Overview
A local MCP server that supplies GFS ensemble weather signals for 12 cities, aimed at spotting edges in prediction markets.
- What you can do
- Provides GFS ensemble weather signals for 12 cities, framed as inputs for prediction market edge detection. No tool list is published, so the exact operations an assistant can call are not documented. Runs as a local process on the user's machine over stdio.
- When to use it
- Consider it when you want an assistant to weigh ensemble weather forecasts for the covered cities against weather-related prediction market positions. It is not a general-purpose weather service for everyday forecasts.
- Requirements
- A local Python runtime able to run the nephyr-weather package with uvx. No authentication, environment variables or headers are declared. Desktop only; no web executable.
Installation
In SourceWeft
- Open Nephyr Weather in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This repository has no README.
Tools
0Version history
1- v0.1.1LatestSep 16, 2026
Score
25% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
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- Auth declared10 pts
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- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
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- License10 pts
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