generate-tech-stack
Scan any project and generate a visual TECH_STACK.html page — light/dark theme, auto-adapting, zero config.
Works as a Claude Code skill, MCP server, or GitHub Copilot Extension.
Live demo → — generated from , unmodified.
에이전트 강화
게시자의 자체 명령입니다. PlugMCP 엔드포인트가 아닙니다.
Host a copy with our keys and logs.
uvx generate-tech-stack-mcp==0.2.2Claude Code에는 로컬 명령용 설치 링크가 없습니다. 아래 명령을 복사해 터미널에서 실행합니다.
claude mcp add io.github.askuma-generate-tech-stack -- uvx generate-tech-stack-mcp==0.2.2터미널에서 실행합니다.
{ "mcpServers": { "io.github.askuma-generate-tech-stack": { "command": "uvx", "args": [ "generate-tech-stack-mcp==0.2.2" ] } }}claude_desktop_config.json
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행게시자 제공
Scan any project and generate a visual TECH_STACK.html page — light/dark theme, auto-adapting, zero config.
Works as a Claude Code skill, MCP server, or GitHub Copilot Extension.
Live demo → — generated from , unmodified.
Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.
(real CLI output, unscripted — static screenshot if you'd rather not autoplay)
Every generated page contains:
~/.claude/skills/generate-tech-stack/
├── SKILL.md ← Claude Code skill definition
├── INSTALL.md ← detailed per-platform installation guide
├── README.md ← this file
├── scripts/
│ └── analyze.py ← core scanner + HTML renderer (no dependencies)
├── mcp/
│ ├── server.py ← MCP stdio server (pip install mcp)
│ └── requirements.txt
└── copilot/
├── index.js ← GitHub Copilot Extension (Express)
├── package.json
└── openai_function.json ← OpenAI / Antigravity function definition
pip install generate-tech-stack-mcp
generate-tech-stack . TECH_STACK.html # CLI: scan and write the report
generate-tech-stack-mcp # stdio MCP server
With pip installed, any MCP host config reduces to:
{
"mcpServers": {
"generate-tech-stack": { "command": "generate-tech-stack-mcp" }
}
}
/generate-tech-stack
Run it from any project directory. The skill calls scripts/analyze.py and opens the result in your browser.
pip install mcp
Add to your host's MCP config (replace the path with your actual home directory):
{
"mcpServers": {
"generate-tech-stack": {
"command": "python3",
"args": ["/home/<you>/.claude/skills/generate-tech-stack/mcp/server.py"]
}
}
}
Then ask: generate my tech stack or /generate-tech-stack.
MCP tools exposed:
generate_tech_stack — scans a project, writes TECH_STACK.html, opens in browserlist_tech_stack — returns a JSON summary, no file writtencd copilot
npm install
npm start # listens on port 3000
ngrok http 3000 # expose for GitHub to reach
Register a GitHub App with Copilot Extension enabled, set the Agent URL to https://your-url/agent, and install it on your account. Then in Copilot Chat:
@generate-tech-stack /generate-tech-stack
@generate-tech-stack /generate-tech-stack /path/to/project
python3 ~/.claude/skills/generate-tech-stack/scripts/analyze.py /path/to/project
# output: /path/to/project/TECH_STACK.html
# custom output path:
python3 scripts/analyze.py . ~/Desktop/TECH_STACK.html
analyze.py has no third-party dependencies — just Python 3.8+.
Dark by default with a light-mode toggle (top-right corner, no persistence — resets to dark on reload). Fonts: IBM Plex Sans (body) + JetBrains Mono (code/badges), loaded from Google Fonts. Vanilla JS powers the guided tour and theme toggle only — everything else is plain HTML + CSS. Self-contained single file, opens in any browser offline.
Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.
{ "mcpServers": { "io.github.askuma-generate-tech-stack": { "command": "uvx", "args": [ "generate-tech-stack-mcp==0.2.2" ] } }}도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
Generate Tech Stack은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-11-09. Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.