Weather MCP Server

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, USGS, NIFC, RainViewer, and Blitzortung.org — so there is nothing to sign up for and no key to paste in.

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?" "What was the weather in Paris on June 6, 1944?"

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

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.
• Fully open source — MIT licensed, readable TypeScript, 1,332 tests. Audit it, fork it, fix it.
• Privacy-respecting — your queries go directly from your machine to public weather APIs. No middleman server, no telemetry.
• 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:

Default preset: with no configuration, the server exposes 6 tools led by get_weather_summary (one call covers most "what's the weather?" questions), plus forecast, current_conditions, alerts, search_location, and check_service_status. Enable everything with one environment variable — see Tool Selection.

Consistent location input: every location-based tool accepts the same three forms — latitude+longitude, a saved location_name (e.g. "home"), or a free-text city_name (e.g. "Bend, Oregon", geocoded automatically). When a name is used, the response echoes the resolved place and coordinates.

Output verbosity: high-volume tools (get_forecast, get_alerts, get_weather_imagery, get_river_conditions, get_wildfire_info, get_lightning_activity) accept detail: "summary" | "standard" | "full" (default standard) to trade completeness for token cost — e.g. full returns the complete alert text, uncapped hourly forecast, every radar animation frame, and up to 25 nearby gauges/fires/strikes instead of the default 5-10.

Feature highlights

• Smart source selection — US queries use NOAA (detailed, includes forecaster narratives); everywhere else uses Open-Meteo. You never pick; it just works.
• Saved locations — save "home", "work", or "cabin" once, then ask "what's the weather at home?" Locations persist in ~/.weather-mcp/locations.json and can be tagged with activities ("boating", "skiing") so the AI highlights what matters to you.
• Climate context — optional 30-year climate normals show how today compares: "10°F warmer than normal for this date."
• Safety-aware output — lightning, wildfire, flood, and marine tools include graded safety assessments and plain-language recommendations, not just raw numbers.
• Winter weather — snow depth, snowfall accumulation, and ice accumulation forecasts with sensible trace-amount filtering.
• Timezone-aware — every timestamp is rendered in the location's local time with DST handled correctly.
• Imperial or metric — pick your units server-wide (WEATHER_UNITS) or per request (units: "metric"), with fine-grained overrides (wind in knots, pressure in hPa, 24-hour clock). Defaults to imperial. See Units & Localization.
• Built-in caching — an LRU cache with per-data-type TTLs (5 minutes for alerts, 2 hours for forecasts, forever for finalized historical data) makes repeat queries return in <10ms and cuts upstream API calls by 50–80%.
• Actionable errors — failures explain what happened and link to the upstream status page instead of dumping a stack trace.

Data sources

All free, all public, no authentication required:

Open-Meteo allows 10,000 requests/day for non-commercial use; caching keeps typical AI usage far below that. Please respect the upstream providers' fair-use terms.

Installation

Recommended — npx (always latest, nothing to manage):

# Claude Code
claude mcp add weather -- npx -y @dangahagan/weather-mcp@latest

Or in any MCP client's configuration:

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

Global install:

npm install -g @dangahagan/weather-mcp

From source:

git clone https://github.com/weather-mcp/weather-mcp.git
cd weather-mcp
npm install
npm run build

Then point your MCP client at node /absolute/path/to/weather-mcp/dist/index.js.

Requires Node.js 18+. No API keys, tokens, or accounts needed.

Works with

Claude Desktop, Claude Code, Cline, Cursor, Zed, VS Code (GitHub Copilot), LM Studio, Postman — any client that speaks MCP. Per-client setup instructions: docs/CLIENT_SETUP.md.

Upgrading

• npx users: nothing to do — @latest always fetches the newest version.
• Global install: npm install -g @dangahagan/weather-mcp@latest
• From source: git pull && npm install && npm run build

Restart your MCP client after upgrading. See CHANGELOG.md for release notes.

Configuration

Most users need zero configuration. Everything below is optional.

Settings can go in a .env file (see .env.example) or directly in your MCP client config:

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": ["-y", "@dangahagan/weather-mcp@latest"],
      "env": {
        "ENABLED_TOOLS": "all",
        "CACHE_MAX_SIZE": "2000",
        "LOG_LEVEL": "1"
      }
    }
  }
}

Tool Selection

Control which tools are exposed to reduce context overhead:

ENABLED_TOOLS=all                               # Use a preset
ENABLED_TOOLS=forecast,current,alerts,aqi       # Specific tools only
ENABLED_TOOLS=basic,+historical,+air_quality    # Add to a preset
ENABLED_TOOLS=all,-marine                       # Remove from a preset

Short aliases are supported: forecast, current, alerts, historical, status, search, aqi, marine, radar, lightning, and more.

Units & Localization

Output defaults to imperial (°F, mph, inHg, miles) and can be switched to metric (°C, km/h, hPa, km) server-wide or per request. Precedence: a per-call parameter beats a per-unit env override, which beats the WEATHER_UNITS system default.

WEATHER_UNITS=metric            # switch everything to metric
WEATHER_WIND_SPEED_UNIT=kn      # ...but wind in knots
WEATHER_TIME_FORMAT=24h         # 24-hour clock

Or per call — the AI can honor "in Celsius" on the fly:

{ "latitude": 47.6, "longitude": -122.3, "units": "metric" }
{ "latitude": 47.6, "longitude": -122.3, "wind_speed_unit": "kn", "pressure_unit": "hPa" }

Supported on get_forecast, get_current_conditions, and get_historical_weather. Wind accepts mph/kmh/ms/kn; pressure inHg/hPa. Domain-specialized readings (fire-weather heights, river gauge stage, and the marine tool's dual-unit wave output) keep their conventional units.

Other settings

For caching architecture details, see .github/CACHING.md.

Coverage & Limitations

Being honest about what free public data can and can't do:

• Historical data older than 7 days comes from reanalysis models (9–25km grid), not direct station observations, and trails real time by ~5 days.
• Marine data has limited coastal accuracy and is not suitable for navigation.
• Lightning coverage varies by region (community-operated detector network).
• Open-Meteo's fair-use limit is 10,000 requests/day; the built-in cache makes this hard to hit in normal use.

Development

npm run build          # Compile TypeScript
npm run dev            # Run in development mode
npm test               # Run all 1,332 tests (~2 seconds)
npm run test:coverage  # Coverage report
npm run audit          # Dependency vulnerability scan

Quality bar: TypeScript strict mode, no any types, 100% test coverage on critical utilities (cache, validation, unit conversion, errors), 100% pass rate, minimal runtime dependencies.

Project structure, patterns, and contribution guidance:

• CONTRIBUTING.md — how to contribute
• CLAUDE.md — architecture and development guide
• docs/README.md — complete documentation index

Security

• All inputs validated (coordinates, dates, ranges) before any API call
• Error messages sanitized — no internal details leak to output
• Zero secrets by design: no keys means nothing to steal or misconfigure
• Automated dependency scanning (npm audit + Dependabot), minimal dependency footprint
• Independent security audit: see docs/development/SECURITY_AUDIT.md

To report a vulnerability, see SECURITY.md.

Documentation

• Tool Reference — all 17 tools: parameters, examples, sample output
• Client Setup — step-by-step for 8 MCP clients
• Error Handling — how failures are reported
• Testing Guide — manual testing procedures
• Changelog — version history
• Full documentation index

Contributing

Contributions are welcome — this is a single-maintainer project and issues, PRs, and feedback genuinely help. See CONTRIBUTING.md.

License

MIT — free to use, modify, and distribute.

Weather data provided by NOAA, Open-Meteo, USGS, NIFC, RainViewer, and Blitzortung.org. This project is not affiliated with or endorsed by any of these providers. Do not rely on this server as your sole source for safety-critical decisions — always consult official warnings and forecasts.