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@dangahagan/weather-mcp weekly downloads statistics

By dangahagan · npm · Claude Code

MCP server giving AI assistants 17 weather tools with zero API keys: global forecasts, current conditions, alerts, air quality, marine conditions, lightning detection, radar imagery, river levels, wildfire tracking, and historical weather back to 1940. Bu

View on npm Stale · Oct 18, 2026

@dangahagan/weather-mcp has 2,179 recorded weekly downloads on npm, a decrease of 27.4% over the past 30 days.

Weekly downloads
2,179
Official API · Oct 18, 2026
7-day growth
+11.6%
+227 weekly downloads
30-day growth
-27.4%
-823 weekly downloads
90-day growth
+45.3%
+679 weekly downloads
Rank
—
Among tracked npm listings

About @dangahagan/weather-mcp

Weather MCP Server

npm version MCP Registry License: MIT Tests Node

Give your AI assistant real weather data — 17 tools, zero API keys, zero signup, zero cost.

Weather MCP is a Model Context Protocol server that connects AI assistants (Claude, Cursor, Cline, Zed, and any other MCP client) to live weather data: forecasts, current conditions, alerts, air quality, marine conditions, lightning, radar, rivers, wildfires, and 85+ years of historical weather. It's built entirely on free public data sources — NOAA, Open-Meteo, MET Norway, USGS, NIFC, NASA FIRMS, RainViewer, and Blitzortung.org — so there is nothing to sign up for and no key to paste in. (A few optional keys unlock extras — see Optional API keys — but no tool ever requires one.)

claude mcp add weather -- npx -y @dangahagan/weather-mcp@latest

That's the whole install for Claude Code. For any other MCP client, add this to its MCP config:

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": ["-y", "@dangahagan/weather-mcp@latest"]
    }
  }
}

Then just ask:

"What's the weather in Tokyo this weekend?" "Is there any lightning near the lake right now?" "How does today compare to normal for this time of year?" "Are there wildfires within 50 miles of my cabin?" "Will there be a full moon this weekend?" "Is this a record high for today?" "How bad is the pollen in Berlin today?" "What was the weather in Paris on June 6, 1944?"

👉 See it in action — real prompts like these with the answers they produced, and the raw server output behind them.

📦 Listed in the Official MCP Registry as io.github.dgahagan/weather-mcp.

✅ The official package is @dangahagan/weather-mcp, published from this repository via npm trusted publishing. Every release carries a signed provenance attestation tying the tarball to the exact commit and workflow that built it — verify any version without installing it:

npm view @dangahagan/weather-mcp@latest dist.attestations

Republished copies of this server exist under other npm scopes. They are MIT-licensed forks, which the license permits, but they are not maintained here and are usually many versions behind. This issue tracker covers @dangahagan/weather-mcp only — for anything installed from another scope, please report it to that package's publisher.

Why this server?

There are excellent commercial weather MCPs backed by paid APIs and full-time teams. If you need SLA-backed data, minute-level nowcasting, or premium global station coverage, they're worth a look — this project won't pretend otherwise.

Choose this one if you want:

  • Genuinely free — every data source is a free public API. No trial that expires, no credit card, no rate-limited "free tier" bait.
  • No API keys — install to first forecast in under a minute. Nothing to configure, nothing to leak into a repo. (Four optional keys add extras if you want them; the default configuration needs none.)
  • Fully open source — MIT licensed, readable TypeScript, 4,800 tests. Audit it, fork it, fix it.
  • Privacy-respecting — your queries go directly from your machine to public weather APIs. No middleman server, and no telemetry unless you opt in.
  • Breadth — 17 tools covering weather, safety hazards (lightning, floods, wildfires), marine conditions, air quality, and historical data back to 1940. Most weather MCPs stop at forecasts.

The tradeoff is honest: US data (NOAA) is richer than international data (Open-Meteo), some tools are US-only, and free APIs come with fair-use rate limits. See Coverage & Limitations.

Tools

All 17 tools, documented in detail in docs/TOOLS.md:…

Description from the npm listing.

  • mcp
  • mcp-server
  • model-context-protocol
  • weather
  • weather-api
  • weather-forecast
  • noaa
  • open-meteo
  • forecast
  • climate
  • historical-weather
  • weather-alerts
  • air-quality
  • marine-weather
  • lightning
  • weather-radar
  • wildfire
  • geocoding
  • no-api-key
  • free

README badge

Show your rank in a README or on your website. The badge updates automatically.

Charts

Images: 30d · 1y · all time · 1600×900 dark

Adoption over time

@dangahagan/weather-mcp weekly downloads on npm, last 90 days: 2,179 weekly downloads as of Oct 18, 2026, +45.3% over 90 days.@dangahagan/weather-mcpWeekly downloads on npm · Last 90 days2,179downloads / week+45.3% over 90 days02K4K6K8K10KJul 20Aug 4Aug 19Sep 3Sep 18Oct 3Oct 18downloads / weekobservedarchived (Internet Archive)no observationsJul 24, 2026 – Oct 18, 2026 · 87 observations · Updated Oc…pluginstats.com
@dangahagan/weather-mcp weekly downloads on npm, last 90 days: 2,179 weekly downloads as of Oct 18, 2026, +45.3% over 90 days.

7/30/90-day growth

@dangahagan/weather-mcp weekly downloads growth on npm: +11.6% over 7 days, -27.4% over 30 days, +45.3% over 90 days.@dangahagan/weather-mcpWeekly downloads growth on npm2,179downloads / week now7-day growth+227 weekly downloads+11.6%30-day growth-823 weekly downloads-27.4%90-day growth+679 weekly downloads+45.3%Growth vs. nearest observation to each baseline date · Updated Oct 18, 2026pluginstats.com
@dangahagan/weather-mcp weekly downloads growth on npm: +11.6% over 7 days, -27.4% over 30 days, +45.3% over 90 days.

Ranking history

@dangahagan/weather-mcp npm ranking history: currently #1337 (by weekly downloads).@dangahagan/weather-mcpnpm ranking · by weekly downloads · Last 90 days#1337current rank#1310#1315#1320#1325#1330#1335#1340Jul 23Aug 7Aug 22Sep 6Sep 21Oct 6Oct 21rankOct 18, 2026 – Oct 21, 2026 · 4 observations · Updated Oct 18, 2026pluginstats.com
@dangahagan/weather-mcp npm ranking history: currently #1337 (by weekly downloads).

Listing placement

All npm2,422 listings · 122 pages · 1,212 shown · page 68, #19 (overall #1,359)
All npm: every listing in weekly downloads order

Listing placement

Claude Code297 listings · 15 pages · page 7, #17 (overall #137)
Claude Code: every listing in weekly downloads order

Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.

Each band is one page of 20. Weekly downloads on a linear scale. Placement is projected from weekly downloads, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.

Recent observations

Full history (122)
Recent weekly downloads observations for @dangahagan/weather-mcp
Date (UTC)Weekly downloadsChange vs. previous
2,179+730
1,449-243
1,692+881
811-328
1,139-258
1,3970
1,397-555
1,952-419
2,371-407
2,778-1.1K
3,902-1K
4,903-1.4K
6,341-1.7K
8,014—

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Data source

Weekly downloads (trailing 7 complete days) come from the official npm downloads API. Downloads include CI and mirrors and are not equivalent to installs or users. npm publishes no ratings.

Listing: https://www.npmjs.com/package/@dangahagan/weather-mcp. First seen Oct 16, 2026; last successful collection Oct 22, 2026. See the methodology.