# Suparch

> Suparch — namjeongwan-suparch. Use this tool when you need to search, compare, and calculate structured supplement facts, solving problems related to nutrition and supplement analysis. Suparch provides an open-source MCP server that takes in supplement data as input and outputs comparable and calculated facts. It is ideal for use cases involving dietary research, nutrition planning, and supplement comparison.

Canonical page: https://skillsregistry.net/skills/namjeongwan-suparch  
JSON: https://api.skillsregistry.net/v1/skills/namjeongwan-suparch

## Description

Suparch is an open-source MCP server for searching, comparing, and calculating structured supplement facts.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nhs82kghhg)
- **Repository:** <https://github.com/namJeongwan/suparch>

## 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": "namjeongwan-suparch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/namjeongwan-suparch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/namjeongwan-suparch/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