This MCP server provides access to the Korea Pharmaceutical Information Center (KPIC) drug database through two complementary tools:
Search drugs by name - Find medications using Korean or English drug names (partial or full), returning basic information including drug name, manufacturer, efficacy, and dosage instructions for multiple matching results
Get detailed drug information - Retrieve comprehensive details for a specific drug using its unique drug code (obtained from search results), including ingredients, additives, storage methods, precautions, contraindications, and information for pregnant/nursing mothers
Two-step lookup workflow - First search broadly by name to find relevant medications, then drill down using specific drug codes for complete pharmaceutical data from Korea's official pharmaceutical information authority
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@KPIC MCP Server search for detailed information about Tylenol"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
약학정보원(Korea Pharmaceutical Information Center) API를 위한 Model Context Protocol (MCP) 서버입니다.
이 MCP 서버는 약학정보원의 의약품 정보를 조회할 수 있는 두 가지 도구를 제공합니다:
search_drugs_by_name의약품 이름으로 대략적인 정보를 검색합니다.
파라미터:
drugname (string): 검색할 의약품의 이름 (영문 또는 한글)
반환값:
검색된 의약품 목록 (JSON 배열)
각 항목에는 약품명, 제조사, 효능, 용법용량 등의 기본 정보 포함
get_drug_detail_by_id의약품 코드로 상세 정보를 조회합니다.
파라미터:
drugcode (string): 의약품 코드 (search_drugs_by_name의 결과에서 획득)
반환값:
의약품의 상세 정보 (JSON 배열)
포함 정보: 성분, 첨가제, 보관방법, 주의사항, 임부/수유부 정보 등
Related MCP server: MedData MCP Server
pnpm installpnpm buildpnpm startpnpm devpnpm testClaude Desktop 또는 다른 MCP 클라이언트에서 이 서버를 사용하려면, 설정 파일에 다음을 추가하세요:
{
"mcpServers": {
"kpic": {
"command": "node",
"args": ["/path/to/kpic-mcp/dist/index.js"]
}
}
}kpic-mcp/
├── src/
│ ├── index.ts # MCP 서버 메인 엔트리포인트
│ ├── kpic-api.ts # KPIC API 클라이언트 함수
│ └── types.ts # TypeScript 타입 정의
├── __tests__/
│ └── kpic-api.test.ts # 테스트 코드
├── dist/ # 빌드 결과물 (TypeScript 컴파일 후)
├── package.json
├── tsconfig.json
└── README.md// 타이레놀 검색
search_drugs_by_name("타이레놀")// 특정 의약품 코드로 상세 정보 조회
get_drug_detail_by_id("2013062800004")Runtime: Node.js 18+
Language: TypeScript 5.x
Framework: MCP SDK (@modelcontextprotocol/sdk)
HTTP Client: Native Fetch API
Testing: Jest + ts-jest
Code Quality: ESLint, Prettier
Package Manager: pnpm
MIT
이 서버는 약학정보원의 공개 API를 사용합니다. API 사용 시 해당 사이트의 이용 약관을 준수해야 합니다.
약학정보원의 의약품 코드로 의약품의 상세정보를 가져옵니다. search_drugs_by_name()로 조회한 정보가 부족할 때 사용할 수 있습니다.
Inputs: drugcode (required).
약학정보원에서 의약품 이름으로 대략적인 정보들을 가져옵니다. 이름이 유사한 의약품 여러개가 나올 수 있습니다. 더 자세한 정보가 필요하다면 get_drug_detail_by_id()로 조회해야 합니다.
Inputs: drugname (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 2 tools
The two tools have clearly distinct purposes: search_drugs_by_name retrieves preliminary information by drug name, while get_drug_detail_by_id fetches detailed information by drug code. Their descriptions explicitly reference each other to clarify when to use which, eliminating any ambiguity.
Both tools follow a consistent verb_noun pattern (search_drugs_by_name and get_drug_detail_by_id), using snake_case and descriptive names that clearly indicate their functions and parameters. There are no deviations in naming style.
With only 2 tools, the server feels under-scoped for a drug information domain. While the tools cover basic search and detail retrieval, typical drug information systems might include additional operations like filtering by category, checking interactions, or updating data, making this set appear thin and limited.
The tool set is severely incomplete for a drug information server. It lacks essential operations such as creating, updating, or deleting drug records, and does not cover common needs like drug interactions, dosage guidelines, or category-based searches. This will likely cause agent failures when more comprehensive tasks are required.
Look up Korean drug ingredient and product data by HIRA component and product codes via Pilldoc. V…
Look up drug names, RxCUIs, ingredients and interactions in RxNorm.
Korean law: statutes, precedents, ordinances, treaties and citation verification (법제처 API).
Korean company facts in English for AI agents: ~830 KOSPI-listed companies (DART profiles, KRW financials, recent filings) and ~110,000 corporate public procurement suppliers (12-month KONEPS contract awards), plus live National Tax Service business status checks. 4 tools, keyless, read-only.
