Compatible with every major AI agent and IDE
What is the OpenWeatherMap MCP Server?
Connect OpenWeatherMap to your AI agent to get instant access to global meteorological data. Whether you're planning travel, monitoring environmental conditions, or building weather-aware automations, this server provides the precise data you need.
What you can do
- Current Conditions — Get live temperature, humidity, wind speed, and weather descriptions for any city or coordinate via
get_current_weather. - Extended Forecasts — Access 5-day/3-hour forecasts with
get_forecastor use the One Call 3.0 API for 48-hour hourly and 8-day daily projections viaget_onecall. - Air Quality Monitoring — Retrieve real-time pollution data including PM2.5, PM10, CO, and Ozone levels using
get_air_pollution. - Geocoding Services — Seamlessly convert city names to coordinates with
direct_geocodingand vice versa withreverse_geocodingto power location-based queries.
How it works
- Subscribe to this server
- Enter your OpenWeatherMap API Key
- Ask about weather or air quality in any location from Claude, Cursor, or any MCP client
Who is this for?
- Travelers & Logistics — Check conditions at destinations or along routes to optimize schedules.
- Developers — Integrate weather context into apps and workflows without leaving your code editor.
- Environmental Researchers — Monitor air quality and weather patterns across different coordinates instantly.
Built-in capabilities (6)
Convert city names or zip codes into coordinates
5, PM10, and NH3. Get current air pollution data
Get current weather data
Get 5 Day / 3 Hour Forecast
Get One Call API 3.0 weather data
Convert coordinates into city names
Why LlamaIndex?
LlamaIndex agents combine OpenWeatherMap tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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 OpenWeatherMap tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain OpenWeatherMap tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query OpenWeatherMap, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what OpenWeatherMap tools were called, what data was returned, and how it influenced the final answer
OpenWeatherMap in LlamaIndex
OpenWeatherMap and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenWeatherMap to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for OpenWeatherMap in LlamaIndex
The OpenWeatherMap 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
OpenWeatherMap for LlamaIndex
Every tool call from LlamaIndex to the OpenWeatherMap MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get a comprehensive weather report including hourly and daily forecasts?
Use the get_onecall tool with latitude and longitude. It provides current data, 48-hour hourly forecasts, and 8-day daily forecasts in a single request.
Can I check the air quality for a specific location?
Yes, the get_air_pollution tool returns real-time data for pollutants including CO, NO2, O3, and particulate matter (PM2.5/PM10) for any coordinates.
How do I find coordinates for a city name to use with the weather tools?
Use the direct_geocoding tool. Simply provide the city name (and optionally state/country), and it will return the latitude and longitude needed for tools like get_onecall.
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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query OpenWeatherMap tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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