mcpField
W

Weather & Geo Intel MCP

Remote
github.com/selflabbsMaps & Travel0Updated 5d ago
Repository

About Weather & Geo Intel MCP

Weather & Geo Intel MCP provides US weather, hazard and geospatial data to AI agents from government sources. It covers forecasts, alerts, earthquakes, elevation and address geocoding without API keys.

Key features

  1. 01Geocode US street addresses
  2. 02Get hourly and multi-day forecasts
  3. 03Check current conditions and weather alerts
  4. 04Search recent earthquakes
  5. 05Retrieve elevation by coordinates

Use cases

  1. 01Check a US location’s forecast and current conditions
  2. 02Find active state weather alerts
  3. 03Review recent earthquakes near an area
  4. 04Convert an address to coordinates

MCP support

It exposes weather and geospatial tools to MCP clients, using US government data feeds. No API keys are required.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://weather.selflabbs.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Weather & Geo Intel MCP — by Datakoot

US weather, hazards and geospatial data for AI agents — as MCP tools your agent can call mid-task for forecasts, alerts, earthquakes and elevation. All from keyless US-government feeds. No API keys.

Tools

ToolWhat it doesSource
geocodeConvert a US street address to latitude/longitudeUS Census Bureau
weather_forecastMulti-day or hourly forecast for a US pointNWS / NOAA
weather_currentLatest observed conditions from the nearest stationNWS / NOAA
weather_alertsActive warnings, watches and advisories by US stateNWS / NOAA
earthquakesRecent earthquakes, filterable by magnitude, time and areaUSGS
elevationGround elevation at a latitude/longitudeUSGS

US coverage. Have an address? Call geocode first, then the weather tools. No API keys required.

Quick start

claude mcp add --transport http weather-intel https://weather.datakoot.com/mcp

Or point any MCP client at https://weather.datakoot.com/mcp.

Try it in 10 seconds — no key, no signup

Paste this into a terminal:

curl -s https://weather.datakoot.com/mcp \
  -H 'content-type: application/json' \
  -H 'accept: application/json, text/event-stream' \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "weather_forecast", "arguments": {"lat": 36.37, "lon": -94.21}}}'

You get the multi-day National Weather Service forecast for Bentonville, AR — no API key, nothing to sign up for.

Or point any MCP client at the URL and just ask your agent, in plain language:

  • "What's the weather in Chicago this week?"
  • "Are there any active weather alerts in Texas right now?"

Data & attribution

Weather data comes from the National Weather Service / NOAA API; earthquakes and elevation from the USGS; address geocoding from the US Census Bureau geocoder. All are US-government public domain.

Part of Datakoot — keyless intelligence APIs for AI agents.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.