# spear-mcp-test

> Use this tool when you need to access and integrate SPEAR model output from multiple sources, such as AWS, STAC API, or local storage, to support AI-driven climate analysis and decision-making. It solves problems related to data fragmentation and compatibility, enabling seamless interaction with AI assistants like Claude Desktop or SPEAR Climate Chatbot. The tool accepts various data sources as input and outputs integrated model output for AI-driven applications.

Canonical page: https://skillsregistry.net/skills/zappalaja-spear-mcp-test  
JSON: https://api.skillsregistry.net/v1/skills/zappalaja-spear-mcp-test

## Description

MCP server for accessing SPEAR model output from various sources (AWS, STAC API, local) and integrating with AI assistants like Claude Desktop or a SPEAR Climate Chatbot.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ti0cj11kiw)
- **Repository:** <https://github.com/zappalaja/spear-mcp-test>

## 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": "zappalaja-spear-mcp-test"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zappalaja-spear-mcp-test` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zappalaja-spear-mcp-test/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