NOAA Full — Ultimate Weather & Climate Intelligence MCP Server for OpenAI Agents SDK 36 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NOAA Full — Ultimate Weather & Climate Intelligence through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="NOAA Full — Ultimate Weather & Climate Intelligence Assistant",
instructions=(
"You help users interact with NOAA Full — Ultimate Weather & Climate Intelligence. "
"You have access to 36 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from NOAA Full — Ultimate Weather & Climate Intelligence"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About NOAA Full — Ultimate Weather & Climate Intelligence MCP Server
The ultimate NOAA Mega-Server — 36 tools across 7 domains from 5 official APIs.
The OpenAI Agents SDK auto-discovers all 36 tools from NOAA Full — Ultimate Weather & Climate Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries NOAA Full — Ultimate Weather & Climate Intelligence, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
36 Tools
- 🌤️ Forecast (5) — Daily, hourly, grid, AFD, metadata
- ⚠️ Alerts (4) — By state, zone, point, types
- 📡 Observations (5) — Stations, current, history, radar
- ✈️ Aviation (5) — METAR, TAF, PIREP, SIGMET, station
- 🌊 Marine (6) — Tides, predictions, currents, water temp, met, sea level
- ☀️ Space (6) — Kp, forecast, solar wind, aurora, flux, Dst
- 📊 Climate (5) — Daily, monthly, yearly, normals, station search
No API Key Required
The NOAA Full — Ultimate Weather & Climate Intelligence MCP Server exposes 36 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect NOAA Full — Ultimate Weather & Climate Intelligence to OpenAI Agents SDK via MCP
Follow these steps to integrate the NOAA Full — Ultimate Weather & Climate Intelligence MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 36 tools from NOAA Full — Ultimate Weather & Climate Intelligence
Why Use OpenAI Agents SDK with the NOAA Full — Ultimate Weather & Climate Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with NOAA Full — Ultimate Weather & Climate Intelligence through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
NOAA Full — Ultimate Weather & Climate Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the NOAA Full — Ultimate Weather & Climate Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query NOAA Full — Ultimate Weather & Climate Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries NOAA Full — Ultimate Weather & Climate Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through NOAA Full — Ultimate Weather & Climate Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query NOAA Full — Ultimate Weather & Climate Intelligence to resolve tickets, look up records, and update statuses without human intervention
NOAA Full — Ultimate Weather & Climate Intelligence MCP Tools for OpenAI Agents SDK (36)
These 36 tools become available when you connect NOAA Full — Ultimate Weather & Climate Intelligence to OpenAI Agents SDK via MCP:
get_active_alerts
Filter by state (2-letter code: TX, FL, CA), severity (Extreme, Severe, Moderate, Minor), urgency (Immediate, Expected, Future), or event type (Tornado Warning, Hurricane Warning, etc.). Get active weather alerts by US state or severity
get_alert_types
). Use this to discover valid event type values for filtering alerts. List all NWS weather alert types available
get_alerts_by_point
Internally resolves the location to find active alerts in that area. Get active weather alerts for a specific US latitude/longitude
get_alerts_by_zone
g., TXZ211, FLZ050). Zone IDs can be found via the get_point_metadata tool. Useful for focused monitoring of a specific area. Get active weather alerts for a specific NWS zone
get_aurora_forecast
Powered by real-time solar wind data. The gold standard for aurora forecasting worldwide. Get the aurora probability forecast map data (Ovation model)
get_aviation_station
Use ICAO codes (KJFK, EGLL, LFPG, SBGR). Get aviation weather station information by ICAO code
get_climate_normals
This is the statistical baseline that defines "normal" weather for any location. Get 30-year climate normals — the baseline for what is "normal" weather
get_currents
Available at select CO-OPS stations with current meters. Get observed ocean current speed and direction at a US coastal station
get_daily_data
This is the planet's largest archive of daily weather records. Filter by station, data types (TMAX, TMIN, PRCP, SNOW, SNWD), and date range. Stations are worldwide but densest coverage is in the US. Get daily weather data (GHCN-Daily): temperatures, precipitation, snow
get_dst_index
Measures the intensity of the ring current around Earth. Values below -50 nT indicate a moderate storm, below -100 nT a strong storm, below -250 nT a severe storm. Critical for satellite operators and power grid monitoring. Get the Dst index — real-time geomagnetic storm intensity
get_forecast
Provide latitude and longitude for any US location. Returns high/low temps, wind speed/direction, precipitation probability, and detailed narrative. Get 7-day weather forecast for a US location by latitude and longitude
get_forecast_discussion
Use the 3-letter WFO code (e.g., OKX=New York, LAX=Los Angeles, MFL=Miami). Lists recent product IDs — retrieve the latest for full text. Get the Area Forecast Discussion (AFD) from a NWS Weather Forecast Office
get_grid_data
Useful for programmatic analysis. US only. Get raw NWS grid weather data: temperature, precipitation, wind, humidity arrays
get_hourly_forecast
5 days. Includes temperature, wind, humidity, precipitation, and sky condition for each hour. US locations only. Get hour-by-hour weather forecast (156 hours) for a US location
get_k_index_forecast
Use this to plan for aurora viewing, satellite vulnerabilities, or HF radio propagation impacts. Get the 3-day Kp index forecast — predicted geomagnetic activity
get_latest_observation
Provide a 4-character station ID such as KJFK, KLAX, KORD, KDFW. Get current weather conditions from a specific NWS station
get_metar
Provide ICAO codes comma-separated (KJFK, EGLL, LFPG). Returns temperature, wind, visibility, clouds, pressure, weather phenomena. Optionally retrieve past hours of data. Get METAR (current airport weather) for any airport worldwide by ICAO code
get_meteorological
Complements water-level data for a complete coastal picture. Get coastal meteorological data: air temp, wind, pressure at a station
get_monthly_summary
Monthly aggregates of temperature averages, precipitation totals, and degree days. Less granular than daily but ideal for climate trend analysis. Get monthly climate summary (GSOM): average temp, total precipitation, heating degree days
get_observation_history
Useful for seeing temperature trends, wind changes, and weather evolution over recent hours. Get recent observation history for a NWS station
get_pirep
Filter by age (hours). Get PIREPs (Pilot Reports) for turbulence, icing, and weather conditions
get_planetary_k_index
Kp ranges 0-9. Values ≥5 indicate geomagnetic storms with visible aurora at lower latitudes. Updated every 3 hours. Essential for aurora hunters, satellite operators, and power grid managers. Get the NOAA Planetary K-index — geomagnetic activity and aurora probability
get_point_metadata
US locations only. Get NWS metadata for a US location: responsible WFO, grid coordinates, zones
get_radar_stations
List all NWS radar stations and their status
get_sea_level_trends
Shows long-term relative sea level trends calculated from decades of tide gauge data. Critical for climate research. Get long-term sea level rise trends for a US coastal station
get_sigmet
These define areas of significant weather hazards for aviation: convection, turbulence, icing, IFR conditions, mountain obscuration. Get SIGMETs and AIRMETs — significant aviation weather hazards
get_solar_flux
7 solar flux index. Higher values (>100 SFU) indicate increased solar activity, more sunspots, and higher probability of solar flares and CMEs. Normal quiet-sun values are 70-80 SFU. Get the 10.7cm solar radio flux — a proxy for solar activity level
get_solar_wind
The solar wind drives geomagnetic storms — when speed exceeds 500 km/s with southward Bz, aurora probability increases dramatically. Get real-time solar wind speed and magnetic field conditions
get_station_metadata
Useful for understanding where a station is and what data it provides. Get metadata about a specific NWS weather station
get_stations
Each station has a 4-character ID (e.g., KJFK, KLAX). US only. Use station IDs with get_latest_observation. Find nearby NWS weather observation stations by latitude/longitude
get_taf
Includes forecast groups with wind, visibility, clouds, and weather changes. ICAO codes only. Get TAF (airport weather forecast) for any airport worldwide by ICAO code
get_tide_predictions
Provides predicted high and low tide times and heights. Useful for fishing, boating, coastal activities. Default is next 48 hours. Get tide predictions (hi/lo) for a US coastal station
get_water_levels
Data in meters relative to station datum. Provide a CO-OPS station ID (e.g., 8518750 for The Battery, NYC; 9414290 for San Francisco). Get observed water levels (tides) at a US coastal station
get_water_temperature
Useful for marine biology, fishing, surfing, and coastal research. Get water temperature at a US coastal station
get_yearly_summary
Yearly temperature averages, precipitation totals, and extreme values. Perfect for long-term climate analysis spanning decades. Get annual climate summary (GSOY): yearly averages and extremes
search_stations
Returns station IDs, names, and locations for use with other climate tools. Search NCEI weather stations by location bounding box or keyword
Example Prompts for NOAA Full — Ultimate Weather & Climate Intelligence in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NOAA Full — Ultimate Weather & Climate Intelligence immediately.
"Full weather briefing: NYC forecast, alerts, airport conditions, and tides"
"Is there any space weather activity and can I see the aurora?"
Troubleshooting NOAA Full — Ultimate Weather & Climate Intelligence MCP Server with OpenAI Agents SDK
Common issues when connecting NOAA Full — Ultimate Weather & Climate Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
NOAA Full — Ultimate Weather & Climate Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating NOAA Full — Ultimate Weather & Climate Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect NOAA Full — Ultimate Weather & Climate Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NOAA Full — Ultimate Weather & Climate Intelligence to OpenAI Agents SDK
Get your token, paste the configuration, and start using 36 tools in under 2 minutes. No API key management needed.