Tomorrow.io Extended MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Tomorrow.io Extended through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"tomorrowio-extended": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Tomorrow.io Extended, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Tomorrow.io Extended through native MCP adapters. Connect 5 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Tomorrow.io Extended MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 5 tools from Tomorrow.io Extended via MCP
Why Use LangChain with the Tomorrow.io Extended MCP Server
LangChain provides unique advantages when paired with Tomorrow.io Extended through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Tomorrow.io Extended MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Tomorrow.io Extended queries for multi-turn workflows
Tomorrow.io Extended + LangChain Use Cases
Practical scenarios where LangChain combined with the Tomorrow.io Extended MCP Server delivers measurable value.
RAG with live data: combine Tomorrow.io Extended tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Tomorrow.io Extended, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Tomorrow.io Extended tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Tomorrow.io Extended tool call, measure latency, and optimize your agent's performance
Tomorrow.io Extended MCP Tools for LangChain (5)
These 5 tools become available when you connect Tomorrow.io Extended to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Tomorrow.io Extended to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTomorrow.io Extended + LangChain FAQ
Common questions about integrating Tomorrow.io Extended MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.