# GeoCroissant MCP Server

> GeoCroissant MCP Server — harshshinde0-geocr-mcp. Use this tool when you need to discover and search Earth observation datasets or generate validated metadata for geospatial machine learning workflows. It solves problems related to data discovery, metadata creation, and data inspection for geospatial applications. The GeoCroissant MCP Server takes STAC catalogs as input and outputs validated GeoCroissant metadata and previewable records.

Canonical page: https://skillsregistry.net/skills/harshshinde0-geocr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/harshshinde0-geocr-mcp

## Description

Enables discovering and searching Earth observation datasets from STAC catalogs, generating validated GeoCroissant metadata, inspecting document structure, and previewing records for geospatial ML workflows.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ewb1oqp1j4)
- **Repository:** <https://github.com/HarshShinde0/geocr_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": "harshshinde0-geocr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harshshinde0-geocr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harshshinde0-geocr-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