Access Weather, Climate, and Geocoding Data

MeasureSpace MCP Server gives an AI assistant access to weather, climate, air quality, agriculture, pollen, and geocoding data from measurespace.io. It ships as two equivalent implementations - a Python package (mcp, measure-space-api) and a TypeScript package (@measurespace/measure-space-mcp-server) - so you can pick whichever fits your stack.

Use it when you want an AI assistant to answer questions about upcoming weather, seasonal climate outlook, air quality, pollen levels, agricultural growing conditions, or to convert between city names and coordinates. Each service (geocoding, hourly/daily weather, climate, air quality, agriculture, pollen) requires its own separate API key from measurespace.io - you only need to obtain keys for the specific services you plan to use. Do not use it for services beyond this scope, and note that any given tool will be unavailable until its corresponding API key is configured.

• Hourly weather forecast for the next 5 days.
• Daily weather forecast for the next 15 days.
• Daily climate forecast for the next 9 months.
• Hourly and daily air quality forecast for the next 4 days.
• Agriculture data: Growing Degree Days (GDD), crop growth stage, heat and frost stress days.
• Daily pollen forecast for the next 5 days.
• Geocoding: city name to latitude/longitude, and latitude/longitude to nearest city.
• Timezone and astronomy data (sunrise, sunset).

Obtain the relevant API key(s) from measurespace.io/pricing, one per service you plan to use:

Then follow the implementation-specific setup: the Python package (mcp, measure-space-api) under python/, or the TypeScript package (@measurespace/measure-space-mcp-server) under typescript/. Both expose the same set of tools.

Developers building weather-, climate-, or agriculture-aware AI assistants who need a ready-made connector to Measure Space's forecasting and geocoding APIs instead of integrating each REST endpoint manually.