OpenWeather MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenWeather through 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="OpenWeather Assistant",
instructions=(
"You help users interact with OpenWeather. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OpenWeather"
)
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 OpenWeather MCP Server
Connect to OpenWeather APIs and access global weather data through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from OpenWeather through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OpenWeather, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Current Weather — Get real-time temperature, humidity, wind, pressure, visibility and conditions for any location
- Hourly Forecast — 48-hour hourly forecast with temperature, precipitation probability and UV index
- Daily Forecast — Up to 16-day daily forecast with min/max temperatures and weather descriptions
- Weather Alerts — Active severe weather warnings and alerts for any location
- Air Quality — Current AQI and 4-day forecast with pollutant concentrations (PM2.5, PM10, O3, NO2, CO)
- Historical Weather — Weather conditions for any past date
- Sun Times — Sunrise and sunset times for any location
- Geocoding — Convert city names to coordinates and vice versa
The OpenWeather MCP Server exposes 11 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 OpenWeather to OpenAI Agents SDK via MCP
Follow these steps to integrate the OpenWeather 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 11 tools from OpenWeather
Why Use OpenAI Agents SDK with the OpenWeather MCP Server
OpenAI Agents SDK provides unique advantages when paired with OpenWeather 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
OpenWeather + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OpenWeather MCP Server delivers measurable value.
Automated workflows: build agents that query OpenWeather, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OpenWeather, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OpenWeather tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OpenWeather to resolve tickets, look up records, and update statuses without human intervention
OpenWeather MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect OpenWeather to OpenAI Agents SDK via MCP:
geocode
Returns the top 5 matching locations with their coordinates, country codes and state names. Use these coordinates with other weather tools. Convert a city name to coordinates
get_air_quality
5, PM10, O3, NO2, SO2, CO, NH3). AQI scale: 1=Good, 2=Fair, 3=Moderate, 4=Poor, 5=Very Poor. Requires lat/lon coordinates. Get current air quality index for a location
get_air_quality_forecast
Each data point includes AQI level (1-5 scale) and concentrations of PM2.5, PM10, O3, NO2, SO2, CO and NH3. Get 4-day air quality forecast for a location
get_current_weather
Requires either city name (e.g. "London", "São Paulo") or latitude/longitude coordinates. Get current weather conditions for a location
get_daily_forecast
Each day includes min/max temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Get daily weather forecast for up to 16 days
get_forecast
Each data point includes temperature, humidity, wind, pressure and weather description. Optionally set the number of days (1-5). Requires either city name or lat/lon. Get 5-day/3-hour weather forecast
get_historical_weather
Returns temperature, humidity, wind, pressure and weather description for the requested date. Requires lat/lon and date in YYYY-MM-DD format. Get historical weather data for a specific date
get_hourly_forecast
Each hour includes temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Use geocode to find coordinates for a city name. Get hourly weather forecast using One Call API
get_sun_times
Returns the exact times and the sun's elevation angle at sunrise/sunset. Requires lat/lon coordinates. Get sunrise and sunset times for a location
get_weather_alerts
Returns alert type, severity, description, start and end times. Requires lat/lon coordinates. Useful for monitoring severe weather conditions. Get active weather alerts for a location
reverse_geocode
Returns the city, state, country and postal code for the given coordinates. Convert coordinates to a city name
Example Prompts for OpenWeather in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenWeather immediately.
"What's the current weather in São Paulo?"
"What's the 7-day forecast for Tokyo?"
"Is the air quality good in Beijing right now?"
Troubleshooting OpenWeather MCP Server with OpenAI Agents SDK
Common issues when connecting OpenWeather to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OpenWeather + OpenAI Agents SDK FAQ
Common questions about integrating OpenWeather 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 OpenWeather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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 OpenWeather to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.