Weatherbit MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Weatherbit as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Weatherbit. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Weatherbit?"
)
print(response)
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.
LlamaIndex agents combine Weatherbit tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Weatherbit MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Weatherbit
Why Use LlamaIndex with the Weatherbit MCP Server
LlamaIndex provides unique advantages when paired with Weatherbit through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Weatherbit tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Weatherbit tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Weatherbit, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Weatherbit tools were called, what data was returned, and how it influenced the final answer
Weatherbit + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Weatherbit MCP Server delivers measurable value.
Hybrid search: combine Weatherbit real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Weatherbit to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Weatherbit for fresh data
Analytical workflows: chain Weatherbit queries with LlamaIndex's data connectors to build multi-source analytical reports
Weatherbit MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Weatherbit to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Weatherbit to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWeatherbit + LlamaIndex FAQ
Common questions about integrating Weatherbit MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.