Minimal MCP Server for AutoCAD DWG
A FastAPI-based MCP server scaffold designed to extract material tables from AutoCAD DWG files. It enables users to automate CAD data processing by configuring drawing folder paths and layer-specific extraction parameters.
README
Minimal MCP Server
간단한 MCP(Model Context Protocol) 서버 스캐폴드입니다. Python 3.12.10용 FastAPI 예시를 제공합니다.
Endpoints:
GET /health- 상태 확인POST /mcp- 간단한 MCP-style 요청 처리 (예: {"requestId":"id","input":{"text":"..."}})GET /mcp/tools- MCP 도구 목록 샘플
Python 3.12.10
간단한 FastAPI 기반 MCP 서버가 추가되었습니다.
설치 및 실행 (Windows PowerShell):
# 가상환경 생성
python -m venv .venv
# 가상환경 활성화
.\.venv\Scripts\Activate.ps1
# 의존성 설치
pip install -r requirements.txt
# 서버 실행
python app.py
또는 개발 모드로 직접 uvicorn 실행:
python -m pip install --upgrade pip
pip install -r requirements.txt
uvicorn src.mcp_server:app --reload --port 3000
포트는 환경변수 PORT로 변경 가능합니다.
AutoCAD DWG 도구 설정
config.env 파일을 수정하여 AutoCAD 도구 설정을 변경할 수 있습니다:
# AutoCAD DWG 폴더 경로
DWG_FOLDER=C:\CAD\Drawings
# 재료 테이블 추출 설정
LAYER_SHOP_FIELD=SHOP-FIELD
ROW_TOLERANCE=3.0
COL_TOLERANCE=40.0
# 카테고리 헤더 (쉼표로 구분)
MATERIAL_CATEGORIES=SHOP MATERIAL,FIELD MATERIAL
설정 항목 설명:
DWG_FOLDER: DWG 파일을 검색할 기본 폴더 경로LAYER_SHOP_FIELD: 재료 테이블이 포함된 레이어명ROW_TOLERANCE: 행 클러스터링 허용 오차 (픽셀 단위)COL_TOLERANCE: 열 할당 허용 오차 (픽셀 단위)MATERIAL_CATEGORIES: 카테고리 헤더명 (쉼표로 구분)
이 구현은 예시용 매우 단순한 에코 응답을 제공합니다. 실제 MCP 규격에 맞게 확장하세요.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.