# Nonpayment Health MCP Server

> Use this tool when you need to analyze non-reimbursable medical treatment costs in South Korea, as it enables querying and comparing hospital prices, and provides regional statistics analysis to find cost-effective healthcare options. It takes treatment codes and location as inputs and outputs comparable price data and statistics. Ideal for use cases requiring informed healthcare decisions, such as medical cost planning and hospital price comparisons.

Canonical page: https://skillsregistry.net/skills/chweyun-mcp-nonpayment-health  
JSON: https://api.skillsregistry.net/v1/skills/chweyun-mcp-nonpayment-health

## Description

Enables querying and analyzing non-reimbursable medical treatment costs in South Korea using the Health Insurance Review & Assessment Service API. Supports searching treatment codes, comparing hospital prices, regional statistics analysis, and finding cost-effective healthcare options.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u6qliqliql)
- **Repository:** <https://github.com/chweyun/mcp-nonpayment-health>

## 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": "chweyun-mcp-nonpayment-health"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chweyun-mcp-nonpayment-health` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chweyun-mcp-nonpayment-health/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