nws-weather-usgs-water-mcp
Combines National Weather Service alerts and forecasts with modern USGS water data, enabling weather and hydrology queries through MCP. No API key required, with persistent local caching.
README
NWS Weather + USGS Water MCP
<!-- mcp-name: io.github.wylieswanson/nws-weather-usgs-water-mcp -->
An MCP server combining National Weather Service alerts and forecasts with
modern USGS water data. Weather comes from api.weather.gov; water data uses
the official Python dataretrieval.waterdata module and APIs under
api.waterdata.usgs.gov. It does not call legacy
waterservices.usgs.gov endpoints.
No API key is required. A persistent local cache reduces repeated calls while keeping live readings fresh.
Why this server
- One MCP for weather and water: correlate forecasts and alerts with nearby gauges without configuring separate services.
- Current USGS stack: all water retrieval uses modern Water Data APIs—not
waterservices.usgs.gov. - Keyless by default: NWS needs an identifying
User-Agent, but neither data source requires credentials. - Public-API friendly: bounded queries and source-specific SQLite TTLs reduce repeat traffic without letting safety data become stale.
- MCP-ready results: every data response is bounded, structured, JSON-safe, and explicit about cache state and truncation.
Weather tools
| Tool | Purpose |
|---|---|
get_active_alerts |
Active NWS watches, warnings, and advisories for a point |
get_point_forecast |
Multi-period NWS point forecast |
get_hourly_forecast |
Up to 168 hourly periods with precipitation probability |
get_forecast_discussion |
Latest raw Area Forecast Discussion from an NWS office |
get_wfo_for_point |
Resolve a point to its NWS office, grid, and zones |
get_active_alerts is the highest-priority safety tool. An empty successful
result means NWS reports no active alerts for that point; it is not an error.
Water tools
The primary tools use domain-friendly names and sensible USGS parameter-code defaults:
| Tool | Purpose |
|---|---|
find_gauges |
Find nearby gauges that have a latest reading, with exact distance |
search_sites |
Case-insensitive partial site-name search, optionally by state |
get_current_flow |
Latest discharge (00060) |
get_flow_anomaly |
Current discharge compared with this date's median and percentiles |
get_daily_flow |
Mean daily discharge (00060, statistic 00003) |
get_water_level |
Latest gage height (00065) |
get_water_temperature |
Latest water temperature (00010) |
get_flood_stage |
Latest gage height plus published action/flood thresholds |
get_flood_stage reports only thresholds published in the USGS time-series
metadata. It does not invent a flood threshold when a site has none.
The server also exposes generic tools for monitoring locations, time series,
continuous and daily observations, latest values, field measurements, peaks,
statistics, water-quality samples, reference tables, and collection queryables.
Use get_server_info to discover supported collections and common parameter
codes. Use get_cache_info and clear_cache to inspect or reset local caching.
Complete tool index
| Category | Tools |
|---|---|
| NWS weather | get_active_alerts, get_point_forecast, get_hourly_forecast, get_forecast_discussion, get_wfo_for_point |
| Focused USGS water | find_gauges, search_sites, get_current_flow, get_flow_anomaly, get_daily_flow, get_water_level, get_water_temperature, get_flood_stage |
| General USGS access | search_monitoring_locations, search_time_series, get_observations, get_latest_values, get_field_data, get_statistics, get_water_quality_samples, lookup_reference_data, get_collection_queryables |
| Server and cache | get_server_info, get_cache_info, clear_cache |
Install and run
Python 3.10 or newer and uv are recommended.
After the package is published to PyPI, run it without a permanent installation:
uvx nws-weather-usgs-water-mcp
From a source checkout:
uv sync --frozen
uv run nws-weather-usgs-water-mcp
Run those commands from a source checkout. Press Ctrl-C to stop the stdio server.
The server uses stdio transport and runs without credentials. GeoPandas is not required; geometries are returned as JSON coordinate arrays.
Results default to 200 rows and are capped at 5,000 rows. Change the process cap only when needed:
USGS_WATERDATA_MAX_ROWS=10000 uv run nws-weather-usgs-water-mcp
MCP client configuration
Use an absolute path to this checkout:
{
"mcpServers": {
"nws-weather-usgs-water-mcp": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/nws-weather-usgs-water-mcp",
"run",
"nws-weather-usgs-water-mcp"
],
"env": {
"NWS_USER_AGENT": "nws-weather-usgs-water-mcp (you@example.com)"
}
}
}
}
Neither API requires a key. NWS requires an identifying User-Agent; the
server supplies one automatically, and NWS_USER_AGENT lets you provide the
recommended application/contact value. If a deployment later needs higher
USGS limits, add "API_USGS_PAT": "your_key" to the same env object. That
optional key is sent only to USGS in the X-Api-Key header and is never cached.
Local caching
Successful results are cached in a per-user SQLite database. SQLite provides safe access when several MCP client processes share the cache, and a cache failure never prevents a live API request.
| Data | Default TTL |
|---|---|
| NWS active alerts | 60 seconds maximum |
| NWS forecasts and forecast discussions | 15 minutes |
| NWS point-to-grid mapping | 7 days |
| Latest readings, nearby gauges, flood stage, flow anomaly | 10 minutes |
| Continuous observations | 10 minutes |
| Daily observations and USGS statistics | 6 hours |
| Field data and other collections | 30 minutes |
| Samples | 1 hour |
| Site and time-series metadata | 6 hours |
| Reference tables and queryable schemas | 24 hours |
Each tool result includes a cache object with hit, age_seconds, and
ttl_seconds. Only successful responses are cached; API errors are not.
| Variable | Purpose |
|---|---|
NWS_USGS_CACHE_ENABLED=0 |
Disable caching |
NWS_USGS_CACHE_DIR=/path |
Override the OS-specific cache directory |
NWS_USGS_CACHE_MAX_ENTRIES=2000 |
Limit stored query results |
NWS_USGS_CACHE_TTL_SECONDS=300 |
Override defaults; alerts remain capped at 60s |
NWS_ALERTS_CACHE_TTL_SECONDS=30 |
Override alert TTL, capped at 60 seconds |
NWS_FORECAST_CACHE_TTL_SECONDS=900 |
Override forecast TTL |
NWS_POINTS_CACHE_TTL_SECONDS=604800 |
Override point-grid TTL |
NWS_DISCUSSION_CACHE_TTL_SECONDS=900 |
Override discussion TTL |
USGS_LATEST_CACHE_TTL_SECONDS=600 |
Override current/latest-value TTL |
USGS_CONTINUOUS_CACHE_TTL_SECONDS=600 |
Override continuous-observation TTL |
USGS_DAILY_CACHE_TTL_SECONDS=21600 |
Override daily-value TTL |
USGS_METADATA_CACHE_TTL_SECONDS=21600 |
Override site/time-series metadata TTL |
USGS_REFERENCE_CACHE_TTL_SECONDS=86400 |
Override reference/queryable TTL |
USGS_STATISTICS_CACHE_TTL_SECONDS=21600 |
Override statistics TTL |
USGS_SAMPLES_CACHE_TTL_SECONDS=3600 |
Override water-quality sample TTL |
The get_cache_info MCP tool reports the active path and entry count;
clear_cache deletes all cached responses.
Examples
Ask an MCP client:
- “Are there active alerts at 34.62, -111.25?”
- “Give me the next 24 hourly forecast periods at Bull Pen trailhead.”
- “Get the latest Flagstaff forecast discussion.”
- “Find streamflow gauges within 20 miles of 33.45, -112.07.”
- “What is the current flow at USGS site 01646500?”
- “How abnormal is the current flow at Fossil Creek site 09507480?”
- “Give me mean daily flow at 01646500 from 2026-06-01 through 2026-06-30.”
- “What are the current gage height and published flood stage at 01646500?”
- “Find sites containing ‘Salt River’ in Arizona.”
Bare USGS site numbers such as 01646500 are automatically normalized to
modern monitoring-location IDs such as USGS-01646500. Time-series values can
be provisional, so consumers should retain approval_status and qualifier.
Result shape
Data tools return a consistent envelope designed for MCP clients:
{
"data_type": "current_flow",
"row_count": 1,
"columns": ["monitoring_location_id", "time", "value", "unit_of_measure"],
"max_rows_reached": false,
"records": [{"monitoring_location_id": "USGS-01646500", "value": 1234}],
"metadata": {"source_url": "https://api.waterdata.usgs.gov/..."},
"cache": {"enabled": true, "hit": false, "age_seconds": 0, "ttl_seconds": 600}
}
Fields within records vary by source collection. max_rows_reached tells the
client that it should narrow the query or deliberately request a larger bound.
Missing pandas values serialize as JSON null; timestamps use ISO 8601 and
geometries are plain coordinate arrays.
Data source and stability
This project targets api.weather.gov and the versioned modern endpoints at
api.waterdata.usgs.gov, including the OGC API v0 collections. Those APIs
can evolve, so pin this package by release and review the changelog before
upgrading. NWS and USGS remain authoritative; this server only retrieves,
composes, bounds, caches, and serializes their data.
Development
uv sync --extra dev
uv run pytest
uv run ruff check .
uv run ruff format --check .
uv run pyright
The service layer is separate from the MCP registration layer, allowing unit tests to validate filtering, row caps, site-ID normalization, and JSON-safe serialization without network calls.
See CONTRIBUTING.md, SECURITY.md, and CHANGELOG.md before publishing or contributing. Coding agents should also follow AGENTS.md; Claude-specific project context is in CLAUDE.md.
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