Tomorrow.io MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Tomorrow.io as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="tomorrowio_agent",
tools=tools,
system_message=(
"You help users with Tomorrow.io. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Tomorrow.io tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Tomorrow.io MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Tomorrow.io automatically
Why Use AutoGen with the Tomorrow.io MCP Server
AutoGen provides unique advantages when paired with Tomorrow.io through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Tomorrow.io tools to solve complex tasks
Role-based architecture lets you assign Tomorrow.io tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Tomorrow.io tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Tomorrow.io tool responses in an isolated environment
Tomorrow.io + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Tomorrow.io MCP Server delivers measurable value.
Collaborative analysis: one agent queries Tomorrow.io while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Tomorrow.io, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Tomorrow.io data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Tomorrow.io responses in a sandboxed execution environment
Tomorrow.io MCP Tools for AutoGen (10)
These 10 tools become available when you connect Tomorrow.io to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Tomorrow.io to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Tomorrow.io + AutoGen FAQ
Common questions about integrating Tomorrow.io MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.