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Real-time water temperature and tides for 8,000+ locations, by name or lat/long coordinates.
About
Real-time water temperature and tides for 8,000+ locations, by name or lat/long coordinates.
Security Report
This MCP server is a thin protocol translator that forwards water-condition queries over HTTPS to a single backend, with no shell execution, filesystem access, or hardcoded credentials, and its permissions match its purpose. The main concerns are low-severity: user location queries and the MCP client name are sent to a third-party-hosted backend and logged there, which is disclosed in the README but worth noting, and the dependency pins are inconsistent across files. Supply chain analysis found 10 known vulnerabilities in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
12 files analyzed · 15 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-aybeeare-water-conditions": {
"args": [
"-y",
"water-temp-fishing-guide"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Get real-time water temperature and tide prediction data for any lake, river, ocean, bay, or beach by name or latitude/longitude coordinates. Data sourced live from NOAA CO-OPS, USGS, and seatemperature.info, with automatic nearest-station matching for coordinate inputs. Coverage includes 8,000+ named locations across North America and major international bodies, with string to coordinate geocoding for fallback.
mcp-name: io.github.aybeeare/water-conditions
Roadmap: national sensor network expansion
Today's accuracy hierarchy is USGS/NOAA (real government sensors, ground-truth for the exact station) > seatemperature.info (best-guess aggregator, no known dedicated sensor network, used for everywhere else via geocoding). The plan is to extend the first tier — real sensor networks, wired in the same way as USGS/NOAA — country by country, rather than leaning on the aggregator fallback long-term. Goal: a genuine "super API" blending national sensor networks the way this project already blends USGS + NOAA.
Confirmed and ready to integrate (free, open, no API key required):
- UK Environment Agency — best next candidate. Hydrology API (river flows/levels/groundwater, ~8,000 stations, 15-min resolution) + Flood Monitoring API (river/tide levels) — same openness and simplicity as USGS/NOAA, Open Government Licence.
- France SHOM/REFMAR — ~100 real-time tide gauges, Licence Etalab 2.0.
Investigated, more complex integration:
- Copernicus Marine Service (EU/global sea surface temperature, satellite + in-situ) — free and authoritative, but the bulk data products are scientific-grade (NetCDF via a Python toolbox) rather than simple per-station JSON. Has a REST "In Situ Dashboard" worth a closer look.
Investigated, unclear near-term path:
- East Asia (Japan JMA/JODC, Korea KMA) — both have relevant agencies, but access looked more fragmented/licensed than the UK case in an initial search (Japan's tide data appears to route through an authorized distributor, not a clean open endpoint). Needs real investigation before committing — not a near-term target.
North America (USGS/NOAA) + Europe (UK EA, France SHOM) covers the current priority footprint well. Everything else stays on the geocoding + seatemperature.info fallback until/unless a specific region's sensor network turns out to be worth the integration effort.
Query log (owner only)
Every /fishing-guide request is logged with its channel (alexa, mcp-http,
mcp-stdio or rest), the MCP client name when known, what was asked, what it
resolved to, the outcome and the latency. The log is a separate SQLite file
(api/query_log.py), not fishing.db, because fishing.db is rebuilt from git
on every deploy.
1. One-time setup on Railway
- Attach a volume to the service (any mount path, e.g.
/data). The log goes to$RAILWAY_VOLUME_MOUNT_PATH/query_log.dbautomatically. Without a volume the log is wiped on every deploy and the server logs a warning at startup. ACTIVITY_API_KEYis already set. Note the value somewhere safe.
2. Read it — open a terminal in this project folder:
$env:ACTIVITY_API_KEY="your-secret-here"
python scripts/activity.py # last 7 days: counts + last 50 calls
python scripts/activity.py --days 30 --channel alexa
python scripts/activity.py --days 3650 --csv query_log.csv # download every row
The $env: line only needs to be run once per terminal session.
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