Tomorrow.io Extended MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tomorrow.io Extended 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="Tomorrow.io Extended Assistant",
instructions=(
"You help users interact with Tomorrow.io Extended. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tomorrow.io Extended"
)
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 Tomorrow.io Extended MCP Server
Equip your AI agent with the world's most accurate weather intelligence via Tomorrow.io. This integration provides your agent with real-time access to hyper-local weather conditions, minute-by-minute forecasts, and deep atmospheric data. Your agent can instantly check the current temperature, audit historical trends, and monitor air quality levels without you ever touching a weather app. Whether you are planning logistics or managing outdoor operations, your agent acts as a dedicated meteorologist, ensuring your decisions are always guided by precise environmental data.
The OpenAI Agents SDK auto-discovers all 5 tools from Tomorrow.io Extended through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tomorrow.io Extended, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Realtime Conditions — Access current weather data including temperature, humidity, and wind speed for any location.
- Forecast Auditing — Retrieve detailed weather forecasts with customizable timesteps (1m, 1h, 1d).
- Historical Trends — Fetch recent weather history to analyze environmental patterns over the last 24 hours.
- Air Quality Monitoring — Monitor pollution levels and air quality indices to ensure safe environmental conditions.
- Weather Alerts — Stay updated on active weather warnings and alerts issued for specific geographic areas.
The Tomorrow.io Extended MCP Server exposes 5 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 Tomorrow.io Extended to OpenAI Agents SDK via MCP
Follow these steps to integrate the Tomorrow.io Extended 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 5 tools from Tomorrow.io Extended
Why Use OpenAI Agents SDK with the Tomorrow.io Extended MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tomorrow.io Extended 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
Tomorrow.io Extended + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tomorrow.io Extended MCP Server delivers measurable value.
Automated workflows: build agents that query Tomorrow.io Extended, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tomorrow.io Extended, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tomorrow.io Extended tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tomorrow.io Extended to resolve tickets, look up records, and update statuses without human intervention
Tomorrow.io Extended MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect Tomorrow.io Extended to OpenAI Agents SDK via MCP:
get_air_quality
Get air quality data
get_realtime_weather
Get realtime weather data
get_recent_history
Get recent weather history
get_weather_forecast
Get weather forecast
list_weather_alerts
List weather alerts
Example Prompts for Tomorrow.io Extended in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tomorrow.io Extended immediately.
"What's the current weather in London?"
"Give me the hourly forecast for San Francisco."
"How is the air quality in Beijing today?"
Troubleshooting Tomorrow.io Extended MCP Server with OpenAI Agents SDK
Common issues when connecting Tomorrow.io Extended to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tomorrow.io Extended + OpenAI Agents SDK FAQ
Common questions about integrating Tomorrow.io Extended 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 Tomorrow.io Extended 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 Tomorrow.io Extended to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.