Emissions API MCP. Audit air quality and track gas flows from anywhere.
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Emissions API provides satellite-derived data to audit air quality and track gas emissions. Your AI agent queries real-time and historical levels for Carbon Monoxide, Methane, and Ozone.
You can analyze atmospheric composition for any country or specific coordinates, retrieving measurements in GeoJSON format for climate research or industrial impact analysis.
What your AI agents can do
Get available products
Lists all gas products currently available in the emissions data catalog.
Get carbon monoxide
Gets emission data for carbon monoxide at a specific location.
Get geojson emissions
Gets emission measurements formatted as GeoJSON for spatial analysis.
The agent lists all gas products available in the emissions database, letting you know which pollutants you can query.
The agent fetches current and historical emission measurements specifically for carbon monoxide.
The agent retrieves emission measurements and formats them as GeoJSON, making the spatial data ready for mapping tools.
The agent fetches current and historical emission measurements specifically for methane.
The agent fetches current and historical emission measurements specifically for nitrogen dioxide.
The agent fetches current and historical emission measurements specifically for ozone.
Ask AI about this MCP
Supported MCP Clients
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Emissions API MCP Server: 6 Tools for Environmental Data
Use these tools to query and retrieve specific gas emission measurements (CO, CH4, O3, etc.) for targeted environmental analysis.
019d8433get available products
Lists all gas products currently available in the emissions data catalog.
019d8433get carbon monoxide
Gets emission data for carbon monoxide at a specific location.
019d8433get geojson emissions
Gets emission measurements formatted as GeoJSON for spatial analysis.
019d8433get methane
Gets emission data for methane at a specific location.
019d8433get nitrogen dioxide
Gets emission data for nitrogen dioxide at a specific location.
019d8433get ozone
Gets emission data for ozone at a specific location.
Choose How to Get Started
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Emissions API connects your AI agent to satellite-derived data, letting you audit air quality and track gas emissions. Your agent queries real-time and historical levels for Carbon Monoxide, Methane, Ozone, and Nitrogen Dioxide. You can analyze atmospheric composition for any country or specific coordinates, getting measurements in GeoJSON format for climate research or industrial impact analysis. get_available_products lists every gas product in the emissions data catalog, showing you which pollutants you can query. get_carbon_monoxide fetches current and historical emission measurements for carbon monoxide at a specific spot. get_methane gets emission data for methane at a specific location. get_nitrogen_dioxide fetches emission data for nitrogen dioxide at a specific location. get_ozone gets emission data for ozone at a specific location. get_geojson_emissions retrieves emission measurements and formats them as GeoJSON, making the spatial data ready for mapping tools.
How Emissions API MCP Works
- 1 Connect the Emissions API server to your preferred AI client (Claude, Cursor, etc.).
- 2 Tell your agent what data you need—for example, 'What was the methane level in Brazil last month?'
- 3 The agent calls the appropriate tool (e.g.,
get_methane) and returns the data, formatted and ready for your next step.
The bottom line is: you use natural language to query complex, real-world environmental data without writing a single line of code.
Who Is Emissions API MCP For?
Environmental scientists and policy makers need this. If your job involves auditing air quality or tracking climate trends, you're here. You need to quickly compare pollutant levels across different regions and time periods, and you can't rely on manual data exports or slow, complex dashboards. This server gives you a direct, conversational data pipeline.
Monitors global gas concentrations and pulls satellite metadata directly into their workflow for research papers or models.
Performs rapid air quality audits of local regions and finds environmental insights using simple natural language queries.
Verifies regional emission levels and audits atmospheric trends across multiple countries without needing to export data manually.
What Changes When You Connect
- Gas Auditing: Query real-time and historical levels for specific pollutants (like
get_methaneorget_ozone). You get a clear, immediate view of atmospheric composition for any region. - Regional Oversight: Pull emission data for entire countries or specific coordinates. You understand local environmental trends without having to set up multiple data source connections.
- Data Format Control: Use
get_geojson_emissionsto retrieve measurements in GeoJSON format. This gives you strict control over the spatial data distribution for mapping tools. - Scope Discovery: Run
get_available_productsfirst. This lists every gas marker in the catalog, so you always know which pollutants you can query. - Temporal Analysis: Query data across specific date ranges. You track how gas concentrations change over time, not just what they are right now.
- Simple Integration: No API key is required, and you connect the server to your existing AI client. It's ready to use immediately.
Real-World Use Cases
Checking industrial impact in a new region
A sustainability lead needs to audit air quality near a proposed factory site. Instead of manually pulling data from five different sources, they ask their agent: 'Show me CO, CH4, and O3 levels for coordinates X, Y.' The agent runs get_carbon_monoxide, get_methane, and get_ozone and compiles the results in one chat response.
Comparing pollution trends across borders
A policy maker wants to compare the historical levels of Nitrogen Dioxide between the US and Canada. They ask their agent to query get_nitrogen_dioxide for two different countries and a specific date range. The agent handles the date logic and provides the side-by-side comparison needed for a regulatory report.
Modeling atmospheric changes over time
A scientist needs to see how ozone levels change over the last 30 days in the Pacific Ocean. They prompt their agent with the date range and use get_ozone to pull the temporal data. The resulting time series allows them to model atmospheric shifts without data gaps.
Mapping global emissions for a report
An operations lead needs to visualize pollution data for a global report. They run get_geojson_emissions to get the measurements in a map-friendly format, ensuring the data structure works immediately with their GIS software.
The Tradeoffs
Calling tools one by one
A user runs get_methane, waits for the result, then runs get_carbon_monoxide, waits again, and so on. This is slow, breaks the flow, and forces the user to stitch together disparate pieces of information.
→ Ask your agent to query all needed data in a single prompt. For example: 'What are the levels for CO, CH4, and O3 in France?' The agent handles the sequence and delivers the complete data set in one conversation.
Ignoring the data format
The user gets raw numbers for a country but then tries to load it into a mapping tool. The data isn't in the right structure, and the visualization fails.
→
When mapping, always use get_geojson_emissions. This tool ensures the output is in GeoJSON format, which is standard for almost all mapping and GIS platforms.
Assuming a single data source
Relying on a single pollutant tool like get_ozone for all atmospheric data. This misses key pollutants like methane or nitrogen dioxide, giving an incomplete picture of air quality.
→
Start by calling get_available_products to see the full list of available markers. Then, query for multiple pollutants in one go to get a complete environmental picture.
When It Fits, When It Doesn't
Use this server if your core task is auditing air quality or tracking atmospheric changes across multiple pollutants and regions. You need to pull data for several gas types (CO, CH4, O3, NO2, etc.) and you need the ability to query by country, specific date range, or geographic coordinates. Don't use this if you just need to track a single metric in a single, static location. For that, a simple dashboard API might suffice. If your goal is to model complex relationships between pollutants (e.g., how high CO affects NO2 dispersion), you'll need a specialized graph database instead, as this server focuses on data retrieval, not relationship modeling.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Emissions API. 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 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Environmental data used to be a nightmare of manual data exports.
Before this, if you needed to compare CO levels across five countries, you opened five different web portals. You had to manually enter the country code, select the date range, download the CSV, and then copy-paste the data into a master spreadsheet. This process was slow, error-prone, and often missed the latest data.
Now, you just ask your agent. You tell it, 'Compare the historical NO2 levels in Germany and France.' The agent calls the necessary tools, pulls the data, and presents the comparison in plain text or a structured format. You get the answer instantly.
Emissions API MCP Server: Get precise gas measurements.
The manual steps that disappear are the constant switching between country portals and the tedious task of normalizing units across different spreadsheets. You don't have to worry about whether the source used mol/m² or a different unit; your agent handles the data retrieval for the specific tool you request.
What's different now is the data flow. You move from siloed, manual data gathering to a single, conversational query that gets you precise, satellite-derived measurements for any gas.
Common Questions About Emissions API MCP
How do I use the `get_available_products` tool in the Emissions API? +
You run get_available_products first to see every marker available. This tells you exactly which pollutants—like methane or ozone—your agent can track in the database.
Can the Emissions API handle historical data for Carbon Monoxide? +
Yes. The API supports querying specific date ranges for pollutants like carbon monoxide, allowing you to track trends over time.
Which tool should I use for mapping emissions data? +
Use get_geojson_emissions. This tool is designed specifically to return emission measurements in the GeoJSON format, which is what mapping software needs.
What is the difference between `get_methane` and `get_available_products`? +
get_available_products lists all possible pollutants in the catalog. get_methane retrieves the actual, current emission data for methane for a specific location.
Is the Emissions API free to use? +
Yes. The server is a public and free service, and no API key is required to start using it.
How do I get emission data for a specific area using the `get_geojson_emissions` tool? +
The get_geojson_emissions tool returns data structured for mapping. You simply provide the required coordinates or boundary data to generate a GeoJSON file. This format keeps the geographic data distribution strictly controlled for visualization.
Does the Emissions API support querying multiple gases at once, like methane and ozone? +
You must call the tools individually for each gas. To get both methane and ozone data, you'll run get_methane and get_ozone separately. This ensures the agent handles the specific parameters and required fields for each gas type correctly.
What data points can I retrieve using `get_carbon_monoxide`? +
The get_carbon_monoxide tool provides emission data for carbon monoxide. You can specify the target country, date range, and desired measurement format. The output includes the gas concentration, a timestamp, and the geographic location of the reading.
Is an API Key required for Emissions API? +
No. Emissions API is a free and open service. This server works out of the box without any static credentials required.
What gases can be audited via the agent? +
You can query Carbon Monoxide (carbonmonoxide), Methane (methane), Ozone (ozone), and Nitrogen Dioxide (nitrogendioxide) using specialized tools.
Is the data historical or real-time? +
The API provides historical measurement data collected by the Sentinel-5P satellite, typically updated daily with a short processing lag.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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