# geocluster-mcp

> geocluster-mcp — eigenformai-geocluster-mcp. Use this tool when you need to analyze and visualize geospatial data for exploration and geoscience applications. The geocluster-mcp server provides a suite of approximately 50 tools for tasks such as data inspection, cleaning, and clustering, accepting raster and tabular data as input and producing actionable insights and visualizations as output. It is ideal for use cases involving spatial operations, feature engineering, and anomaly detection in geospatial data analysis.

Canonical page: https://skillsregistry.net/skills/eigenformai-geocluster-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eigenformai-geocluster-mcp

## Description

MCP server that gives LLM agents ~50 tools for exploration-geoscience data: inspection, cleaning, spatial ops, feature engineering, clustering, anomaly detection, and visualization for raster and tabular data.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/EigenformAI/geocluster-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": "eigenformai-geocluster-mcp"
    }
  }
}
```

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

---
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