McpLLMServer

McpLLMServer

A FastAPI-based MCP server that enables LLM agents to interact with Ollama models through standardized MCP tools, with optional MySQL and Redis integration for data persistence and caching.

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README

이 문서는 FastAPI 서버를 MySQL, Redis와 함께 Docker로 실행하고, Python 3.12.10 로컬 개발환경에서도 동일하게 사용할 수 있도록 구성하는 방법을 안내합니다.


🧱 아키텍처 구성

┌─────────────────────────────┐
│  Cursor / VSCode / Client   │
│        (LLM Agent)          │
└──────────────┬──────────────┘
               │ MCP (HTTP)
               ▼
┌─────────────────────────────┐
│     MCP Server (FastMCP)    │
│     FastAPI + MCP SDK       │
│                             │
│  ├── Tool Registry          │
│  ├── LLM Tool               │
│  └── DB Tool (optional)     │
└──────────────┬──────────────┘
               │
               ▼
┌─────────────────────────────┐
│        Ollama Server        │
│   (LLM Runtime, Docker)    │
└─────────────────────────────┘
  • LLM(Client)은 MCP HTTP API만 호출
  • FastAPI는 Tool Router + 비즈니스 로직 분리
  • Redis는 캐시, MySQL은 영속 데이터 저장소 역할

🧱 전체 디렉토리 구조

mcp-llm-stack/
│
├── docker-compose.yml
├── Dockerfile
├── requirements.txt
│
└── app/
    ├── main.py              # FastMCP 엔트리
    │
    ├── mcp/
    │   ├── __init__.py
    │   └── tools.py         # MCP Tools (LLM 호출)
    │
    └── llm/
        └── ollama_client.py # Ollama 호출 로직

📌 VS Code 디버그 세팅

다음 파일들은 디버그 모드 전용입니다.

  • Dockerfile_debug
  • docker-compose.yml_debug

👉 VS Code에서 FastAPI + Docker + breakpoints 디버깅 가능


📌 1. 실행 방법

Windows 환경에서는 Docker Desktop이 실행 중이어야 합니다.

🐳 Docker Compose 실행

docker-compose up --build

🚀 백그라운드(데몬) 실행

docker-compose up --build -d

🛑 컨테이너 종료

docker-compose down

📌 Docker 캐시 제거 (빌드 오류 시)

docker build --no-cache -t myfastapi .

📌 Docker 캐시 충돌 오류 해결

캐시 충돌로 인해 빌드 오류가 발생할 경우 아래 명령어로 해결할 수 있습니다.

docker system prune -a

⚠ 실행 시 모든 미사용 Docker 이미지/컨테이너가 제거됩니다.


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