# landuse-mcp

> Use this tool when you need to retrieve detailed geographical data, such as land cover, soil type, and temporal land use information, for specific coordinates. The landuse-mcp server provides access to the National Land Cover Database and FAO soil classifications, solving problems related to environmental monitoring, urban planning, and agricultural management. It accepts geographical coordinates as input and returns relevant land use data, making it ideal for applications requiring accurate spatial information.

Canonical page: https://skillsregistry.net/skills/contextualizer-ai-landuse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/contextualizer-ai-landuse-mcp

## Description

A Model Context Protocol server for retrieving land cover, soil type, and temporal land use data for any geographical coordinates using the National Land Cover Database and FAO soil classifications.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rbvbz1yek5)
- **Repository:** <https://github.com/contextualizer-ai/landuse-mcp>

## 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": "contextualizer-ai-landuse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/contextualizer-ai-landuse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/contextualizer-ai-landuse-mcp/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