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mcp-http-deploy

by yangpago-lab
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Python
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교육용 MCP 서버

파일

mcp_server_http.py            서버 (도구 4개, transport="http")
make_data.py                  교육용 더미 데이터 생성 (이미지 빌드 때 실행됨)
Dockerfile                    python:3.12-slim 기반
docker-compose.yml            mcp-server + gateway 2개 서비스
nginx/default.conf.template   인증, 사용량 제한, 호출 기록 설정
client_test.py                접속 확인용 (langchain-mcp-adapters)

Related MCP server: MCPHubs

실행

docker compose up -d
docker compose ps                   
python client_test.py               
docker compose down

uvicorn

fastmcp의 mcp.run(transport="http")이 내부에서 uvicorn을 띄웁니다. 서버 기동 로그에서 확인할 수 있습니다.

INFO:     Uvicorn running on http://0.0.0.0:8000

  • uvicorn은 비동기라 단일 프로세스로도 여러 클라이언트를 동시에 받습니다.

  • MCP streamable HTTP는 세션 상태를 프로세스 메모리에 둡니다. 트래픽이 정말 늘면 워커가 아니라 컨테이너 개수를 늘리고 로드밸런서를 앞에 둡니다.

Agent에서 연결

mcp_agent.py의 설정에서 transport와 url만 바뀝니다.

# stdio (4일차)
client = MultiServerMCPClient({
    "company": {"command": sys.executable, "args": ["mcp_server.py"], "transport": "stdio"},
})

# streamable HTTP (이 서버, 게이트웨이 경유)
client = MultiServerMCPClient({
    "company": {
        "url": "http://서버주소:8080/mcp",
        "transport": "streamable_http",
        "headers": {"X-API-Key": "발급받은키"},
    },
})

나머지 코드(get_tools, create_agent)는 그대로입니다. 도구를 서버로 빼고 규약으로 주고받는다는 MCP의 약속 덕분입니다.

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