Weatherbit MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Weatherbit through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"weatherbit": {
"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 Weatherbit, 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 Weatherbit MCP Server
Connect to Weatherbit and access global weather data through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Weatherbit through native MCP adapters. Connect 10 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
- Current Weather — Get real-time conditions (temperature, humidity, wind, precipitation, UV) by coordinates or city name
- Daily Forecast — Get up to 16-day daily forecasts with high/low temps, precipitation, wind and UV
- Hourly Forecast — Get up to 10-day hourly forecasts with detailed conditions
- Historical Weather — Access 30+ years of historical daily weather data
- Weather Alerts — Get active severe weather warnings and watches
- Air Quality — Get AQI, PM2.5, PM10, O3, NO2, SO2 and CO readings
- Severe Weather — Query recent severe weather reports (tornadoes, hail, floods)
The Weatherbit MCP Server exposes 10 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 Weatherbit to LangChain via MCP
Follow these steps to integrate the Weatherbit 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 10 tools from Weatherbit via MCP
Why Use LangChain with the Weatherbit MCP Server
LangChain provides unique advantages when paired with Weatherbit through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Weatherbit 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 Weatherbit queries for multi-turn workflows
Weatherbit + LangChain Use Cases
Practical scenarios where LangChain combined with the Weatherbit MCP Server delivers measurable value.
RAG with live data: combine Weatherbit tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Weatherbit, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Weatherbit tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Weatherbit tool call, measure latency, and optimize your agent's performance
Weatherbit MCP Tools for LangChain (10)
These 10 tools become available when you connect Weatherbit to LangChain via MCP:
get_air_quality
Returns AQI score, PM2.5, PM10, O3, NO2, SO2, CO concentrations and health recommendations. Get air quality index (AQI) by coordinates
get_current_weather
Returns temperature, feels like, humidity, wind speed/direction, precipitation, cloud cover, visibility, UV index, weather description and icon. Get current weather conditions by coordinates
get_current_weather_by_city
Returns temperature, feels like, humidity, wind, precipitation, cloud cover, visibility, UV index and weather description. Get current weather conditions by city name
get_forecast_daily
Returns daily high/low temperatures, weather conditions, precipitation probability, wind, humidity, UV index and sunrise/sunset times. Get daily weather forecast by coordinates
get_forecast_daily_by_city
Returns daily forecasts for up to 16 days ahead with temperatures, conditions, precipitation, wind and UV index. Get daily weather forecast by city name
get_forecast_hourly
Returns temperature, precipitation probability, wind, humidity, cloud cover and weather conditions for each hour. Get hourly weather forecast by coordinates
get_forecast_hourly_by_city
Returns hourly forecasts with temperature, precipitation, wind and conditions. Get hourly weather forecast by city name
get_historical_weather
Returns temperature, precipitation, wind, humidity and other metrics for dates in the past 30 years. Get historical weather data by coordinates
get_severe_weather
Useful for tracking recent severe weather activity. Query severe weather reports in a geographic area
get_weather_alerts
Returns alert type, severity, description, effective/expiry times and affected areas. Get active weather alerts by coordinates
Example Prompts for Weatherbit in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Weatherbit immediately.
"What's the weather in London today?"
"Give me the 5-day forecast for Tokyo."
"What's the air quality in São Paulo?"
Troubleshooting Weatherbit MCP Server with LangChain
Common issues when connecting Weatherbit to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWeatherbit + LangChain FAQ
Common questions about integrating Weatherbit 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 Weatherbit 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 Weatherbit to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.