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Vinkius
LlamaIndexFramework
LlamaIndex
Why use Open-Meteo MCP Server with LlamaIndex?

Bring Weather Forecast
to LlamaIndex

Create your Vinkius account to connect Open-Meteo to LlamaIndex and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Get Air QualityGet ElevationGet ForecastGet GeocodingGet Historical Weather
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Open-Meteo

What is the Open-Meteo MCP Server?

Connect to Open-Meteo and access global weather forecasts through natural conversation — no API key needed.

What you can do

  • Current Weather — Get real-time temperature, humidity, wind, precipitation and conditions
  • 7-Day Forecast — Hourly and daily forecasts up to 16 days ahead with 50+ weather variables
  • Historical Weather — Access archived weather data going back to 1940 for any location
  • Air Quality — Get PM2.5, PM10, NO2, O3, SO2, CO and UV index forecasts
  • Geocoding — Find coordinates for any city or place name
  • Elevation — Get elevation data for any coordinates

How it works

  1. Subscribe to this server
  2. No API key needed — start querying immediately
  3. Get weather data from Claude, Cursor, or any MCP-compatible client

No API key required — completely free and open-source.

Who is this for?

  • Travelers — check weather forecasts and air quality before and during trips
  • Researchers — access historical weather data for climate studies and analysis
  • Developers — integrate free weather data into applications without authentication
  • Outdoor Planners — check UV index, wind speed and precipitation for events

Built-in capabilities (5)

get_air_quality

5, PM10, nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide, dust, pollen and UV index. Requires latitude and longitude. Returns hourly data for up to 7 days. Common variables: pm2_5, pm10, nitrogen_dioxide, ozone, sulphur_dioxide, carbon_monoxide, dust, uv_index, alder_pollen, grass_pollen. Get air quality forecast for a location

get_elevation

Useful for hiking, aviation and geographic research. Get elevation for coordinates

get_forecast

Requires latitude and longitude. Supports hourly, daily and current weather variables. Common variables: temperature_2m, relative_humidity_2m, precipitation, rain, snowfall, wind_speed_10m, wind_direction_10m, wind_gusts_10m, weather_code, cloud_cover, pressure_msl, uv_index, visibility, apparent_temperature, dew_point_2m, sunshine_duration. Set past_days to include historical data (0-92 days). Set forecast_days for forecast length (0-16 days, default 7). Timezone defaults to GMT; use "auto" for local timezone. Get weather forecast for a location

get_geocoding

Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name

get_historical_weather

Requires latitude, longitude, start date and end date (YYYY-MM-DD format). Supports the same hourly variables as the forecast API. Historical data goes back to 1940 for most locations. Use get_geocoding to find coordinates for a city name. Get historical weather data for a location

Why LlamaIndex?

LlamaIndex agents combine Open-Meteo tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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.

  • Data-first architecture: LlamaIndex agents combine Open-Meteo tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Open-Meteo tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Open-Meteo, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Open-Meteo tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Open-Meteo in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Open-Meteo with Vinkius?

The Open-Meteo connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Open-Meteo
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Open-Meteo using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Open-Meteo and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Open-Meteo to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Open-Meteo for LlamaIndex

Every request between LlamaIndex and Open-Meteo is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Do I need an API key?

No! Open-Meteo is completely free and open-source for non-commercial use. No API key, no sign-up, no registration. Just subscribe and start querying. For commercial use, you'll need an API key from open-meteo.com.

02

What weather variables are available?

50+ variables including: temperature (2m, 80m, 120m, 180m), apparent temperature, humidity, dew point, wind speed/direction/gusts, precipitation, rain, snowfall, snow depth, cloud cover, pressure, UV index, sunshine duration, visibility, evapotranspiration, soil temperature/moisture and many more.

03

How far back does historical data go?

Historical weather data goes back to 1940 for most locations worldwide. Use get_historical_weather with start_date and end_date in YYYY-MM-DD format to retrieve archived data.

04

How do I find coordinates for a city?

Use get_geocoding with the city name (e.g. 'São Paulo', 'Tokyo', 'London'). Returns coordinates, elevation, timezone and country info. Then use those coordinates with get_forecast or get_historical_weather.

05

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

06

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Open-Meteo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

07

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

08

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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