# mcp-gauge

> mcp-gauge — changchinfu-mcp-gauge. Use this tool when you need to access reliable, decision-grade data signals across multiple domains, including hydrology, air quality, and more. The mcp-gauge provides verifiable signals with a pay-per-call model in USDC, making it suitable for applications requiring accurate and trustworthy data. It is ideal for use cases where data-driven decisions are critical, such as environmental monitoring, resource management, or regulatory compliance.

Canonical page: https://skillsregistry.net/skills/changchinfu-mcp-gauge  
JSON: https://api.skillsregistry.net/v1/skills/changchinfu-mcp-gauge

## Description

Enables MCP hosts to access verifiable, decision-grade signals across five domains (hydrology, air quality, agriculture, power grid, shipping, regulatory filing) with pay-per-call in USDC via x402.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rdvsy54if9)
- **Repository:** <https://github.com/CHANGCHINFU/mcp-gauge>

## 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": "changchinfu-mcp-gauge"
    }
  }
}
```

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