# Measure Space

> Use this tool when you need to access environmental data services, such as weather forecasts, climate projections, and air quality monitoring, to inform decision-making in various industries like agriculture and healthcare. It provides hourly and daily forecasts, as well as long-term climate projections, through APIs with Python and TypeScript implementations. Ideal for use cases requiring location-based environmental insights, such as geocoding, agricultural analytics, and pollen forecasting.

Canonical page: https://skillsregistry.net/skills/measure-space  
JSON: https://api.skillsregistry.net/v1/skills/measure-space

## Description

Measure Space provides environmental data services including hourly and daily weather forecasts, climate projections, air quality monitoring, agricultural analytics (growing degree days, crop growth stages), pollen forecasts, and geocoding. Available in both Python and TypeScript implementations with per-service API keys from measurespace.io.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/measure-space)
- **Repository:** <https://github.com/measurespace/measure-space-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "measure-space"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/measure-space` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/measure-space/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt