OpenWeather MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenWeather as an MCP tool provider through 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 OpenWeather. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in OpenWeather?"
)
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 OpenWeather MCP Server
Connect to OpenWeather APIs and access global weather data through natural conversation.
LlamaIndex agents combine OpenWeather tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through 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 temperature, humidity, wind, pressure, visibility and conditions for any location
- Hourly Forecast — 48-hour hourly forecast with temperature, precipitation probability and UV index
- Daily Forecast — Up to 16-day daily forecast with min/max temperatures and weather descriptions
- Weather Alerts — Active severe weather warnings and alerts for any location
- Air Quality — Current AQI and 4-day forecast with pollutant concentrations (PM2.5, PM10, O3, NO2, CO)
- Historical Weather — Weather conditions for any past date
- Sun Times — Sunrise and sunset times for any location
- Geocoding — Convert city names to coordinates and vice versa
The OpenWeather MCP Server exposes 11 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 OpenWeather to LlamaIndex via MCP
Follow these steps to integrate the OpenWeather 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 11 tools from OpenWeather
Why Use LlamaIndex with the OpenWeather MCP Server
LlamaIndex provides unique advantages when paired with OpenWeather through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OpenWeather tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OpenWeather tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OpenWeather, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OpenWeather tools were called, what data was returned, and how it influenced the final answer
OpenWeather + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OpenWeather MCP Server delivers measurable value.
Hybrid search: combine OpenWeather real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OpenWeather 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 OpenWeather for fresh data
Analytical workflows: chain OpenWeather queries with LlamaIndex's data connectors to build multi-source analytical reports
OpenWeather MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect OpenWeather to LlamaIndex via MCP:
geocode
Returns the top 5 matching locations with their coordinates, country codes and state names. Use these coordinates with other weather tools. Convert a city name to coordinates
get_air_quality
5, PM10, O3, NO2, SO2, CO, NH3). AQI scale: 1=Good, 2=Fair, 3=Moderate, 4=Poor, 5=Very Poor. Requires lat/lon coordinates. Get current air quality index for a location
get_air_quality_forecast
Each data point includes AQI level (1-5 scale) and concentrations of PM2.5, PM10, O3, NO2, SO2, CO and NH3. Get 4-day air quality forecast for a location
get_current_weather
Requires either city name (e.g. "London", "São Paulo") or latitude/longitude coordinates. Get current weather conditions for a location
get_daily_forecast
Each day includes min/max temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Get daily weather forecast for up to 16 days
get_forecast
Each data point includes temperature, humidity, wind, pressure and weather description. Optionally set the number of days (1-5). Requires either city name or lat/lon. Get 5-day/3-hour weather forecast
get_historical_weather
Returns temperature, humidity, wind, pressure and weather description for the requested date. Requires lat/lon and date in YYYY-MM-DD format. Get historical weather data for a specific date
get_hourly_forecast
Each hour includes temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Use geocode to find coordinates for a city name. Get hourly weather forecast using One Call API
get_sun_times
Returns the exact times and the sun's elevation angle at sunrise/sunset. Requires lat/lon coordinates. Get sunrise and sunset times for a location
get_weather_alerts
Returns alert type, severity, description, start and end times. Requires lat/lon coordinates. Useful for monitoring severe weather conditions. Get active weather alerts for a location
reverse_geocode
Returns the city, state, country and postal code for the given coordinates. Convert coordinates to a city name
Example Prompts for OpenWeather in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with OpenWeather immediately.
"What's the current weather in São Paulo?"
"What's the 7-day forecast for Tokyo?"
"Is the air quality good in Beijing right now?"
Troubleshooting OpenWeather MCP Server with LlamaIndex
Common issues when connecting OpenWeather to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpenWeather + LlamaIndex FAQ
Common questions about integrating OpenWeather 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 OpenWeather 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 OpenWeather to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.