Tomorrow.io MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tomorrow.io 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 Assistant",
instructions=(
"You help users interact with Tomorrow.io. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tomorrow.io"
)
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 MCP Server
Connect your Tomorrow.io account to any AI agent and integrate institutional-grade weather modeling into your logic flows. Retrieve hyperlocal conditions, predict rainfall down to the specific minute, and access specialized environmental matrices (air quality, fire risks, and ground road weather) directly through natural language queries.
The OpenAI Agents SDK auto-discovers all 10 tools from Tomorrow.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tomorrow.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Real-time Observations — Check comprehensive atmospheric indicators for any latitude, longitude, city, or zip code dynamically
- Interval Forecasting — Read forward-looking timelines segmented by minute (precipitation), hours (daily events), or deep daily projections up to 15 days out
- Environmental Hazards — Interrogate the AQI (Air Quality Index), pollen density predictions, or active Wildfire index algorithms
- Logistical Safeguards — Check specialized
Road Riskparameters natively, enabling safer fleet routing algorithms against complex weather patterns - Historical Auditing — Query observed historical conditions by defining past temporal boundaries and desired weather field sets for retroactive analysis
The Tomorrow.io MCP Server exposes 10 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 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Tomorrow.io 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 10 tools from Tomorrow.io
Why Use OpenAI Agents SDK with the Tomorrow.io MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tomorrow.io 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 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tomorrow.io MCP Server delivers measurable value.
Automated workflows: build agents that query Tomorrow.io, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tomorrow.io, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tomorrow.io tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tomorrow.io to resolve tickets, look up records, and update statuses without human intervention
Tomorrow.io MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Tomorrow.io to OpenAI Agents SDK via MCP:
get_air_quality_index
Retrieve current and forecast air quality data
get_custom_timelines
Query weather data for custom time ranges and arbitrary intervals
get_daily_forecast
Returns up to 15 days of daily intervals. Retrieve daily weather forecast extremes and totals
get_historical_weather
Retrieve actual recorded historical weather observations
get_hourly_forecast
Returns up to 120 hours of predictions. Retrieve hour-by-hour weather forecast for a location
get_minutely_precipitation
Retrieve minute-by-minute precipitation nowcast
get_pollen_forecast
Retrieve daily pollen count indices
get_realtime_weather
Provide a location (lat,lon, city name, or zip) and field list. Retrieve current real-time weather conditions for any global location
get_road_weather_risk
Retrieve assessments for driving and road hazards
get_wildfire_risk
Retrieve wildfire risk index and weather conditions
Example Prompts for Tomorrow.io in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tomorrow.io immediately.
"What is the expected air quality index in New York over the next hour?"
"Show me the minute-by-minute precipitation near Golden Gate bridge right now."
Troubleshooting Tomorrow.io MCP Server with OpenAI Agents SDK
Common issues when connecting Tomorrow.io 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 + OpenAI Agents SDK FAQ
Common questions about integrating Tomorrow.io 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 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 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.