What is kakaocloud-mcp-orchestrator?

A workflow for collecting KakaoCloud OpenAPI documentation and building an MCP server, a service that gives an AI assistant access to structured API tools.

It is for adding KakaoCloud services, collecting API details, modifying the server, rerunning tests, and improving or rebuilding part of an existing project.

It divides a large API-integration task into research, implementation, and testing, while supporting full runs or targeted reruns.

How chals-go/kakaocloud-openapi-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to chals-go/kakaocloud-openapi-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/chals-go/kakaocloud-openapi-mcp/main/.claude/skills/kakaocloud-mcp-orchestrator/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/chals-go/kakaocloud-openapi-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/chals-go/kakaocloud-openapi-mcp/kakaocloud-mcp-orchestrator/github.svg)](https://agentmods.dev/skills/chals-go/kakaocloud-openapi-mcp/kakaocloud-mcp-orchestrator)

Your own site

<a href="https://agentmods.dev/skills/chals-go/kakaocloud-openapi-mcp/kakaocloud-mcp-orchestrator"><img src="https://agentmods.dev/badge/skills/chals-go/kakaocloud-openapi-mcp/kakaocloud-mcp-orchestrator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/chals-go/kakaocloud-openapi-mcp/kakaocloud-mcp-orchestrator"><img src="https://agentmods.dev/badge/skills/chals-go/kakaocloud-openapi-mcp/kakaocloud-mcp-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,097 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00097	$0.02097
Opus 5.5	$0.00039	$0.00839
Sonnet 5.5	$0.00019	$0.00419
Haiku 4.5	$0.00010	$0.00210

Measured 2mo ago against content hash 8b7e43eebb84, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kakaocloud-mcp-orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/kakaocloud-mcp-orchestrator/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

카카오클라우드 MCP 오케스트레이터

카카오클라우드 OpenAPI 문서를 수집하고 MCP 서버를 개발하는 전체 파이프라인을 조율하는 통합 스킬.

실행 모드: 서브 에이전트

에이전트 구성

에이전트	에이전트 정의	역할	스킬	출력
api-researcher	`.claude/agents/api-researcher.md`	API 문서 크롤링/구조화	api-research	`_workspace/01_api_research/`
mcp-developer	`.claude/agents/mcp-developer.md`	MCP 서버 구현	mcp-development	프로젝트 루트 소스코드
mcp-tester	`.claude/agents/mcp-tester.md`	MCP 도구 검증	-	`_workspace/03_test_results/`

워크플로우

Phase 0: 컨텍스트 확인

_workspace/ 디렉토리 존재 여부를 확인한다
실행 모드를 결정한다:
- _workspace/ 미존재 → 초기 실행. Phase 1로 진행
- _workspace/ 존재 + 사용자가 부분 수정 요청 → 부분 재실행. 해당 에이전트만 재호출
  - "API 추가 수집" → api-researcher만 재호출
  - "MCP 코드 수정" → mcp-developer만 재호출
  - "테스트 다시" → mcp-tester만 재호출
- _workspace/ 존재 + 새 전체 실행 요청 → _workspace/를 _workspace_{timestamp}/로 이동 후 Phase 1 진행
기존 프로젝트 소스코드(src/) 존재 여부도 확인하여 mcp-developer에게 전달한다

Phase 1: 준비

사용자 입력을 분석한다:
- 전체 서비스 수집인지 특정 서비스만인지 파악
- MCP 서버 기술 스택 선호도 확인 (TypeScript/Python, 기본값: TypeScript)
- 특별한 요구사항 파악
_workspace/ 디렉토리를 생성한다
입력 분석 결과를 _workspace/00_input/requirements.md에 저장한다

Phase 2: API 문서 수집

api-researcher 에이전트를 호출하여 카카오클라우드 OpenAPI 문서를 수집한다.

Agent(
  description: "카카오클라우드 API 문서 수집",
  prompt: "<api-researcher.md의 역할 설명>
    
    api-research 스킬(.claude/skills/api-research/SKILL.md)을 읽고 따르라.
    
    조사 대상: <Phase 1에서 결정된 서비스 목록>
    출력 위치: _workspace/01_api_research/
    
    이전 산출물이 있다면 읽고 개선점을 반영하라.",
  model: "opus"
)

완료 확인:

_workspace/01_api_research/summary.md 존재 확인
최소 1개 이상의 서비스 JSON 파일 존재 확인
수집 실패 서비스가 있다면 기록 확인

Phase 3: MCP 서버 개발

mcp-developer 에이전트를 호출하여 MCP 서버를 구현한다.

Agent(
  description: "카카오클라우드 MCP 서버 구현",
  prompt: "<mcp-developer.md의 역할 설명>
    
    mcp-development 스킬(.claude/skills/mcp-development/SKILL.md)을 읽고 따르라.
    
    API 스펙 데이터: _workspace/01_api_research/
    기술 스택: <Phase 1에서 결정된 스택>
    요구사항: _workspace/00_input/requirements.md
    
    프로젝트 루트에 MCP 서버 코드를 생성하라.
    기존 코드가 있다면 읽고 수정/개선하라.",
  model: "opus"
)

Read the full file on GitHub · 199 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/kakaocloud-api-structure.md 1.2 KB

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 199 lines · 97 tokens per session scan A 8b7e43eebb84

Subscribe to this mod's changes

kakaocloud-mcp-orchestrator is a skill published in the GitHub repository chals-go/kakaocloud-openapi-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 97 tokens to every session and 2,097 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Backend and APIs Building agents

kakaocloud-mcp-orchestrator next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
kakaocloud-mcp-orchestratorchals-go/kakaocloud-openapi-mcp	Skill	1	6mo ago	MIT	A	97	Claude Code
mem0-oss-to-platformmem0ai/mem0	Skill	68k	2d ago	Apache-2.0	A	217	Claude Code, Codex
azure-mgmt-botservice-dotnetmicrosoft/skills	Skill	3.2k	yesterday	MIT	A	78	Claude Code
fastapi-router-pymicrosoft/skills	Skill	3.2k	yesterday	MIT	A	46	Claude Code
dev-runtimelangwatch/langwatch	Skill	5.0k	yesterday	Apache-2.0	A	172	Claude Code
api-designericrisco/rsc-harness	Skill	503	2d ago	MIT	A	105	Claude Code, Codex
migrate-segw-to-raparc-mcp/arc-1	Skill	252	yesterday	MIT	A	106	Claude Code

kakaocloud-openapi-mcp: Skill for Claude Code