AI Agent 빠른 시작
Claude Code, OpenClaw 등 AI Agent에 mopng.cn API 연동 가이드 제공
1
API 키 받기
API 키를 받으려면 먼저 로그인하세요.
2
MoPNG API Skill 설치
OpenClaw / Claude Code / Cursor에서 아래 3단계로 진행하세요. 각 단계는 개별 복사 가능합니다.
1. 설치
해당 클라이언트에서 실행하세요 (진입점은 제품에 따라 다릅니다).
/skill add https://gitee.com/jkin8010/mopng-api/raw/main/SKILL.md
사전 요구사항: uv, python3 (3.10+ 권장). 설명: SKILL.md(GitHub)、Gitee
2. 환경 변수 설정
API 키 생성 후 여기에 키가 입력되어 복사 가능해집니다.
Configure environment variables (read by the skill scripts, same value as API Key)
Tell your assistant to set it globally, for example:
> Set MOPNG_API_KEY='ak_xxxxxxxxxxxxxxxx' in the global environment
If your client supports JSON env config (e.g. OpenClaw), use:
{
"env": {
"MOPNG_API_KEY": "ak_xxxxxxxxxxxxxxxx"
}
}3. 사용 예시
After installation, you can use CLI-style commands in chat (relative paths are supported): - Background removal: remove-bg ./photo.jpg remove-bg ./photo.jpg --output ./result.png --async-mode - HD upscale: upscale ./photo.jpg --scale 2 upscale ./photo.jpg --scale 4 --tile-size 192 --tile-pad 24 --async-mode - Outpainting: outpainting ./photo.jpg --direction all --expand-ratio 0.5 outpainting ./photo.jpg --direction right --expand-ratio 0.3 --best-quality - Image translation: translation ./photo.jpg --target-language en translation ./photo.jpg --target-language ja --source-language zh - Text-to-image: text-to-image --prompt "A red-beaked blue magpie standing on a branch" text-to-image --prompt "A futuristic city in cyberpunk style" --output ./cyberpunk.png --model wanx-v2.5 - Image-to-image: image-to-image --input ./photo.jpg --prompt "Turn the sky into a golden sunset" image-to-image --input ./portrait.jpg --prompt "Convert to oil painting style" --strength 0.7 --output ./portrait_oil.png - List models: list-models --type text_to_image list-models --type image_to_image Tips: for long-running tasks (remove-bg/upscale), prefer --async-mode; for image-to-image, use --strength to control change level (about 0.3–0.5 light, 0.6–0.8 medium, 0.9–1.0 strong).
3
AI Agent에 전체 지침 복사
아래는 HTTP/OpenAPI 미리보기입니다. "전체 지침 복사"에는 위 Skill 3단계 전문 + 본 섹션이 포함됩니다.
Use mopng.cn OpenAPI (HTTP, Bearer auth)
API Key: ak_xxxxxxxxxxxxxxxx
Base URL: https://mo-api.mopng.cn
Image input: for local files, upload first via POST https://mo-api.mopng.cn/api/v1/images/upload, then use data.signedUrl or data.signed_url; remote URLs can be passed directly.
Async tasks: if POST returns data.status as pending/processing, poll until completed/failed (do not rely on async_mode alone):
- remove-bg / upscale: GET https://mo-api.mopng.cn/api/v1/open/image/tasks/{taskId or task_id}
- outpainting / translation / text-to-image / image-to-image: GET https://mo-api.mopng.cn/api/v1/open/ai/generations/{jobId, taskId, or task_id}
Result image: prefer first url in data.results[]; keep compatibility with result.imageUrl / image_url. Error rule: treat as failure only when code is a number and non-zero.
HTTP endpoints:
- remove-bg: POST /api/v1/open/image/remove-bg
- upscale: POST /api/v1/open/image/upscale
- outpainting: POST /api/v1/open/image/outpainting
- translation: POST /api/v1/open/image/translation
- text-to-image: POST /api/v1/open/ai/generations (type=text_to_image)
- image-to-image: POST /api/v1/open/ai/generations (type=image_to_image)
API documentation (for agents): https://mopng.cn/agent/docs
Natural language examples (works for HTTP or installed skill):
"Please remove the background of ./photo.jpg and save as ./result.png"
"Please upscale ./image.jpg by 2x"
"Please translate Chinese text in ./poster.jpg to English"
"Please outpaint ./photo.jpg by 50% on all sides"지원 AI 도구
배경 제거
1点/张
고해상도 확대
1点/张
이미지 확장
2点/张
이미지 번역
2点/张
텍스트 → 이미지
3点/张
이미지 → 이미지
3点/张
현재 선택: 배경 제거
Base Path: /api/v1/open
Auth: Authorization: Bearer <API_KEY>
**POST** /image/remove-bg
Image: upload local files first via POST /api/v1/images/upload; for remote images, pass image_url directly.
If data.status is pending/processing, poll GET /image/tasks/{taskId|task_id}; camelCase fields are also supported (taskId, results[].url).
코드 예시
import requests
import sys
API_KEY = "YOUR_API_KEY"
BASE_URL = "https://mo-api.mopng.cn"
# For local images, upload first. Skip for remote URLs.
base = BASE_URL.rstrip("/").replace("/api/v1/open", "") or BASE_URL
with open("image.jpg", "rb") as f:
up = requests.post(
f"{base}/api/v1/images/upload",
headers={"Authorization": f"Bearer {API_KEY}"},
files={"file": f}
)
ud = up.json().get("data") or {}
image_url = ud.get("signedUrl") or ud.get("signed_url")
# Call API
resp = requests.post(
f"{BASE_URL}/api/v1/open/image/remove-bg",
headers={"Authorization": f"Bearer {API_KEY}"},
json={
"image_url": image_url,
"output_format": "png",
"return_mask": false,
"only_mask": false,
"async_mode": false
}
)
j = resp.json()
code = j.get("code")
if code is not None and code != 0:
print("API error:", j, file=sys.stderr)
sys.exit(1)
data = j.get("data") or {}
tid = data.get("jobId") or data.get("job_id") or data.get("taskId") or data.get("task_id")
status = data.get("status")
if status in ("pending", "processing") and tid:
import time
while status in ("pending", "processing"):
time.sleep(3)
r = requests.get(
f"{BASE_URL}/api/v1/open/image/tasks/{tid}",
headers={"Authorization": f"Bearer {API_KEY}"},
)
j2 = r.json()
c2 = j2.get("code")
if c2 is not None and c2 != 0:
print("poll error:", j2, file=sys.stderr)
sys.exit(1)
data = (j2.get("data") or {})
status = data.get("status")
if status in ("completed", "failed"):
break
results = data.get("results") or []
first = results[0] if results else {}
url = first.get("url") or first.get("imageUrl") or first.get("image_url")
if not url:
r0 = data.get("result") or {}
url = r0.get("imageUrl") or r0.get("image_url")
print({"status": status, "image_url": url, "data": data})
else:
print(j)
API 문서 (Agent 전용)
각 도구의 엔드포인트, 요청 본문, 응답 구조를 Markdown으로 정리하여 AI Agent에 바로 복사해 사용 가능.