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Open-Meteo Air Quality MCP. Assess pollution, pollen, and sun risk in one call.

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Open-Meteo Air Quality MCP on Cursor AI Code Editor MCP Client Open-Meteo Air Quality MCP on Claude Desktop App MCP Integration Open-Meteo Air Quality MCP on OpenAI Agents SDK MCP Compatible Open-Meteo Air Quality MCP on Visual Studio Code MCP Extension Client Open-Meteo Air Quality MCP on GitHub Copilot AI Agent MCP Integration Open-Meteo Air Quality MCP on Google Gemini AI MCP Integration Open-Meteo Air Quality MCP on Lovable AI Development MCP Client Open-Meteo Air Quality MCP on Mistral AI Agents MCP Compatible Open-Meteo Air Quality MCP on Amazon AWS Bedrock MCP Support

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Open-Meteo Air Quality monitors everything from particulate matter (PM2.5, PM10) to pollen counts and UV radiation levels. This server gives your agent real-time air safety data, including both European and US AQI indexes for any location.

It's pollutant intelligence you can actually act on.

What your AI agents can do

Get air quality

Gathers pollutant concentrations, including PM2.5, ozone, and carbon monoxide, for a specific geographic location.

Get aqi index

Retrieves the current Air Quality Index using both recognized European and US measurement standards.

Get pollen forecast

Generates a detailed forecast of common pollen counts for seasonal allergy planning.

+ 1 more capabilities included
Measure specific pollutants

Retrieves concentrations for key airborne chemicals like PM2.5, Ozone, and Carbon Monoxide at a given location.

Calculate standardized air quality scores

Generates the official Air Quality Index using both European and US calculation standards for immediate safety assessment.

Forecast seasonal allergens

Provides multi-pollen forecasts across several common types (e.g., Birch, Grass) to help plan around high-allergy days.

Determine sun exposure risk

Gathers current and forecast UV index numbers for making informed decisions about outdoor time and protective gear.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Open-Meteo Air Quality: 4 Tools for Environmental Data

Access four specialized tools to monitor everything from pollutant concentrations and official AQI standards to pollen counts and UV risk levels.

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get air quality

Gathers pollutant concentrations, including PM2.5, ozone, and carbon monoxide, for a specific geographic location.

get019d75e7

get aqi index

Retrieves the current Air Quality Index using both recognized European and US measurement standards.

get019d75e7

get pollen forecast

Generates a detailed forecast of common pollen counts for seasonal allergy planning.

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get uv index

Provides the current and forecasted UV index level to guide sun safety protocols.

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What you can do with this MCP connector

This server gives your agent real-time air safety data for any spot you point it at. It monitors everything from particulate matter to pollen counts and UV radiation levels, giving you pollutant intelligence that's actually useful. You don't just get numbers; you get actionable data.

When you use get_air_quality, your agent pulls concentrations for key airborne chemicals like PM2.5, Ozone (O₃), and Carbon Monoxide at a specific location. These measurements tell you exactly what pollutants are floating around right now, which is critical for planning outdoor time. You'll get readings on particulate matter (PM10 and PM2.5) and other major components that affect breathing.

For an immediate safety assessment, your agent runs get_aqi_index. This tool generates the official Air Quality Index using two standards: European and US measurement systems. This means you get a comprehensive score—a single number—that tells you how safe the air is right now, breaking down which pollutant contributes most to that overall risk level.

Knowing both the Euro and US metrics lets you compare safety guidelines regardless of where you are.

If seasonal allergies are on the line, get_pollen_forecast generates a detailed forecast for common pollen counts. It tracks multiple types—like Birch, Grass, Alder, Ragweed, Olive, and Mugwort—so you can plan your day around high-allergy days. This isn't just a general alert; it gives you specific projections for the allergens that hit hardest in your area.

When sun exposure is a factor, get_uv_index provides both current and forecasted UV index numbers. You use this to guide sun safety protocols, telling you when you need more than just sunscreen—it helps determine if protective gear or rescheduling are necessary.

By combining these tools, your agent can build a full picture of environmental risk. It measures specific pollutants like Nitrogen Dioxide (NO₂) and Sulfur Dioxide (SO₂), calculates standardized air quality scores across multiple global indexes, forecasts seasonal allergens for planning purposes, and determines sun exposure risk based on the UV index forecast.

How Open-Meteo Air Quality MCP Works

  1. 1 First, your agent calls the relevant tool (e.g., get_air_quality) and passes a location.
  2. 2 The server executes the call against Open-Meteo's API, fetching raw pollutant data or index scores.
  3. 3 Your agent receives structured metrics—like PM2.5 levels or the US AQI score—which it can then use to advise the user.

The bottom line is that your AI client uses these tools to aggregate multiple environmental readings into a single, actionable health report.

Who Is Open-Meteo Air Quality MCP For?

Anyone who needs reliable data on local air conditions. This includes Public Health Analysts tracking seasonal pollution spikes, Allergy Clinics managing patient risk assessments, and Outdoor Gear Planners scheduling activities around environmental hazards.

Public Health Analyst

Runs daily reports using get_air_quality to track pollutant trends (NO₂ or SO₂) across neighborhoods for epidemiological studies.

Outdoor Sports Planner

Checks the combined output of get_aqi_index, get_uv_index, and get_pollen_forecast before scheduling any event to ensure maximum participant safety.

Environmental Consultant

Uses specific tools like get_air_quality to model pollution impact zones for industrial clients or city planning reports.

What Changes When You Connect

  • Stop guessing about outdoor safety. By running get_aqi_index and checking PM2.5 levels simultaneously, your agent tells the user if they need to stay inside or go for a run.
  • Manage seasonal risks with specific data. Use get_pollen_forecast to warn users that Birch pollen is high this week—that's better than just saying 'be careful'.
  • Handle multiple hazards at once. Your agent can cross-reference the results from get_uv_index (high sun risk) with get_air_quality (ozone levels) to provide a complete safety warning.
  • Support different standards globally. The ability of get_aqi_index to deliver both US and European metrics means one server works for diverse client bases.
  • Get granular pollutant data. Instead of just an 'Unhealthy' score, running get_air_quality shows why it's unhealthy—is it PM10 or SO₂ that caused the issue?
  • Plan ahead with forecasts. The tools don't just report now; they predict future conditions (pollen and UV), letting users plan for the next few days.

Real-World Use Cases

01

Planning a marathon route

A city park planner needs to know if running is safe. They ask their agent, which then runs get_aqi_index and get_air_quality. The agent reports that PM2.5 is elevated due to nearby construction dust. Problem solved: the event must be rescheduled.

02

Preparing for a family picnic

A parent asks, 'Should we take the kids out today?'. Their agent runs get_pollen_forecast and finds ragweed is spiking. It also checks get_uv_index (Very High). The resulting advice: postpone until pollen levels drop or plan for a shaded spot with antihistamines.

03

Monitoring post-fire air safety

A resident asks about the air quality near their home after a wildfire. Their agent immediately runs get_air_quality, which confirms high levels of PM10 and Ozone, giving them immediate, actionable data to seal up windows.

04

Scheduling outdoor work for construction

A site manager needs to know the best time to operate heavy machinery. They use get_aqi_index throughout a week and realize that pollutant levels are always highest during specific afternoon hours, allowing them to adjust their shift schedule.

The Tradeoffs

Checking only the general score

A user asks 'Is the air safe?' and gets a simple AQI number. They assume that single number covers every hazard, ignoring specific pollutant spikes.

Don't rely on just one metric. Your agent must call both get_air_quality (to see PM2.5 levels) AND get_aqi_index to get the full context of why the air is unsafe.

Ignoring seasonality

A developer only builds a tool that checks current pollution, failing to warn users about recurring annual issues like high pollen counts in spring.

Always include get_pollen_forecast. Checking the allergen levels is just as important for health planning as checking the PM2.5 index.

Assuming constant data availability

The client only uses one tool and doesn't account for partial failure, assuming that if get_pollen_forecast fails, the other metrics still work perfectly.

The server is built to handle multiple inputs. If one forecast fails, your agent can still use the data from get_uv_index and get_air_quality to give partial but accurate warnings.

When It Fits, When It Doesn't

Use this MCP Server if you need a holistic picture of environmental risk. Specifically, if your application must account for multiple, independent health threats—like combining pollution data with UV levels or pollen counts—this is the right choice. Don't use it if you only care about one single metric (e.g., just knowing the PM2.5 count). For singular checks, a dedicated pollutant API might suffice. But since environmental safety always involves multiple variables, this combined toolset forces your agent to perform comprehensive cross-checks, giving you confidence that no critical hazard is being missed. It’s built for complex decision-making.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open-Meteo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_air_quality get_aqi_index get_pollen_forecast get_uv_index

Reading air reports used to mean checking three different websites.

Before this server, if you wanted a full picture of local safety, you had to visit the EPA site for particulate matter, then check a separate pollen tracking service, and maybe look up a UV index chart. It was tedious clicking through dashboards, copy-pasting data into spreadsheets, and trying to reconcile three different color-coded systems.

Now, your agent handles it all. You ask one question—'Is it safe for us to be outside?'—and the server runs `get_aqi_index`, `get_air_quality`, AND `get_pollen_forecast`. The answer comes back in a single, weighted report that tells you exactly what risks exist and why.

Open-Meteo Air Quality MCP Server: get_uv_index

Previously, determining sun safety meant checking a simple index number. That single reading didn't tell you if the UV was actually intense enough to warrant sunscreen or if it would spike midday.

Now, running `get_uv_index` gives you both the current UV and the clear-sky projection. You get precise data that lets your agent give specific advice: 'Apply SPF 50+ and avoid 10 am–2 pm.' It's simple but critical.

Common Questions About Open-Meteo Air Quality MCP

How does get_air_quality compare to get_aqi_index? +

They give different things. get_air_quality provides raw pollutant data (like the actual μg/m³ count for PM2.5). In contrast, get_aqi_index gives a single, standardized score that summarizes those pollutants into an immediate safety rating.

Can I get pollen forecasts without knowing my location? +

No. All the tools require a specific geographic location to pull accurate data. Pollen levels are highly localized and change drastically over short distances.

Does the Open-Meteo Air Quality MCP Server track historical data? +

The current tools focus on real-time or forecast data. If you need to build a model based on past pollution trends, your agent needs to integrate this data with an external archival database.

What if get_uv_index fails, will the rest of the air quality data still work? +

Yes. The server is designed for partial failure. If one tool like get_uv_index fails, your agent can still reliably deliver the pollution and AQI metrics using the other tools.

What units does the `get_air_quality` tool return for pollutants? +

The pollutant concentrations are returned in micrograms per cubic meter (μg/m³). This standard unit allows your agent to compare PM2.5, NO₂, and SO₂ readings across different geographic locations accurately.

Are there any rate limits when calling `get_aqi_index` frequently? +

While Vinkius manages the connection, you should monitor your usage against Open-Meteo's specific rate limits. Excessive calls will result in a service denial until the time window resets.

Does `get_pollen_forecast` cover all major regions? +

The server supports data for many areas, but coverage depends on Open-Meteo's underlying network. Always provide precise latitude and longitude coordinates to ensure the pollen forecast is available.

What happens if I call multiple tools (like `get_uv_index` and `get_air_quality`) for the same location? +

You can execute these calls independently in a single workflow. Your agent handles the disparate results, allowing you to build a comprehensive health report from all available environmental metrics.

What's the difference between European AQI and US AQI? +

The European AQI ranges 0-100+ with thresholds set by the EEA. The US AQI ranges 0-500 with EPA thresholds. Both are provided simultaneously so your AI can serve users in any region with their local standard.

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