Connect Ambee to the AI assistant your team already uses
Air quality, pollen, and weather data, exposed as tools any MCP-compatible AI assistant can call directly. One server, the same API key you already have.
Air quality, pollen, and weather data, exposed as tools any MCP-compatible AI assistant can call directly. One server, the same API key you already have.
Assistants discover the available tools automatically and call the right one for a given question, resolving location and routing on the server side.
Clients read the available tools at connection time and select the right one for a given question.
Send coordinates or a place name. The server resolves it, so the client never needs a geocoding step.
Uses the same Ambee API key as REST. MCP calls and REST calls draw from the same account.
Every tool call returns data. Nothing an assistant does through MCP can modify your account.
Each dataset has a present-conditions tool and a 48-hour hourly forecast tool.
Claude, ChatGPT, Cursor, VS Code, or a custom agent. The protocol is open, the server is the same.
The assistant opens a session and lists available tools.
Based on the question, it calls the matching dataset with your API key.
Key is validated, location is resolved, the right dataset is queried.
Structured JSON comes back for the assistant to read and explain.
Common questions about Ambee's MCP
The air quality index (AQI) measures air pollution levels in a location based on air quality data. It ranges from 1 to 500; anything exceeding 500 is considered fatal.
Copy and paste the API key provided on the dashboard to successfully request air quality data via air quality API calls. You will get the AQ data in the respective set of records.
Air quality data can be used to prevent respiratory health ailments, determine the best times for marketing products such as anti-pollution masks, understand the hyper-local environment in the area, and schedule regular HVAC maintenance.
Air quality forecasting is the process of predicting air pollution levels to protect public health. The air quality forecast involves giving an early warning against harmful air pollutants.
A good air quality index is when the air pollution data gives an AQI level of less than 50. The lower the AQI, the better the air quality.
Ambee combines 60+ sources (satellites, sensors, monitors) and ISO-certified processes to achieve 98% correlation with ground monitors (2023 study).
Yes! Use our Accuracy Dashboard to compare Ambee’s real-time data with monitors in your region.
We fill gaps using satellite data and machine learning.
Ambee’s data pipelines are ISO 9001 certified, and our AQI aligns with EPA standards.
Ambee’s data pipelines are ISO 9001 certified, and our AQI aligns with EPA standards.
