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Remote endpoints: streamable-http: https://server.smithery.ai/@cc25a/openai-api-agent-project123123123/mcp
This MCP server integrates OpenAI API with FastAPI and FastMCP for an agent application. While the core architecture is reasonable, there are notable security concerns: weak password-based authentication using MD5 hashing, missing input validation on the chat API, potential credential exposure through logging, and insecure direct execution of dynamically loaded tool functions. The MCP endpoint lacks proper request validation. Permissions are appropriate for the stated purpose (OpenAI integration, file I/O, network), but authentication and input handling weaknesses create moderate security risks. Supply chain analysis found 10 known vulnerabilities in dependencies (1 critical, 6 high severity).
7 files analyzed · 20 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
본 자료는 (주)에이아이캐슬에서 만든 OpenAI API로 배우는 Agent 개발 첫걸음 (OpenAI API Agent School) 강의 프로젝트 자료입니다.
# uv Install
curl -LsSf https://astral.sh/uv/install.sh | sh
# uv Build
uv sync --frozen && uv cache prune --ci
OPENAI_API_KEY: Agent 앱 또는 파인튜닝할 데이터를 업로드할 때 사용할 OpenAI API 키PROMPT_ID Agent 앱에서 사용할 OpenAI 프롬프트 IDTITLE: Agent앱의 상단 제목PASSWORD: 비밀번호 설정 (비워둘 경우 누구나 접근 가능)
?password=<your-password>와 같이 쿼리스트링으로 전달해야 접근 가능uv run main.py
포트: 환경변수 PORT값이 지정된 경우 이 값을 사용하며, 그렇지 않을 경우 8000을 사용함.
agent 앱 주소: https://localhost:8000/agent
mcp 서버 주소: https://localhost:8000/mcp
KEEPALIVE_URL를 github actions의 환경변수(secrets)에 지정하여 주기적으로 접속하는 cron 작업을 수행할 수 있음.KEEPALIVE_URLhttps://<your-project-name>.onrender.com.env파일에 OPENAI_API_KEY를 등록해야 정상적으로 업로드 가능
fine_tuning_data/supervised/uv run fine_tuning_data/supervised/convert_and_upload.py
fine_tuning_data/preference/uv run fine_tuning_data/preference/convert_and_upload.py
fine_tuning_data/reinforcement/uv run fine_tuning_data/reinforcement/convert_and_upload.py
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