# KPIC

> Use this tool when you need to retrieve comprehensive drug and pharmaceutical information from Korean databases, solving problems in healthcare applications, medical research, and pharmaceutical compliance. It provides access to drug details, interactions, safety information, and regulatory data through the KPIC API. Ideal for use cases requiring Korean drug information, such as drug safety analysis and medical research workflows.

Canonical page: https://skillsregistry.net/skills/antegral-kpic  
JSON: https://api.skillsregistry.net/v1/skills/antegral-kpic

## Description

Provides access to the Korea Pharmaceutical Information Center (KPIC) API for retrieving comprehensive drug and pharmaceutical information. Built with TypeScript and the MCP SDK, this server enables querying Korean pharmaceutical databases for drug details, interactions, safety information, and regulatory data. Useful for healthcare applications, medical research, drug safety analysis, and pharmaceutical compliance workflows where access to Korean drug information is required.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/antegral-kpic)
- **Repository:** <https://github.com/antegral/kpic-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": "antegral-kpic"
    }
  }
}
```

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