Generate Tech Stack

io.github.askuma由 GitHub 账号 askuma 发布v0.2.2更新于 Oct 24, 2026

Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.

发布方自己的服务：Tech.eu Funding Explorer

已验证STDIO仅桌面开发者工具数据与分析

概览

AI 生成的概览

扫描本地代码库，生成展示语言、框架、数据库、AI SDK 与基础设施的可视化 TECH_STACK.html 报告。

可以做什么
提供两个 MCP 工具：generate_tech_stack 扫描项目、写出自包含的 TECH_STACK.html 报告并在浏览器中打开；list_tech_stack 返回 JSON 摘要且不写文件。检测范围覆盖 requirements.txt、pyproject.toml、package.json、go.mod、Cargo.toml、Dockerfile、docker-compose.yml 及 CI 工作流等依赖与配置文件，并把结果归入语言、Web 框架、数据库、AI SDK、可观测性、测试、安全、基础设施等类别。报告包含统计行、架构图、条形图、工具卡片、徽章图例和引导式导览。
适用场景
适合需要快速获得项目技术栈可视化清单的场景，例如新人上手、编写文档或代码评审，也适合让助手在不逐一手工阅读清单文件的情况下总结仓库依赖与工具链。
运行要求
通过 stdio 在本地运行。需安装 PyPI 包 generate-tech-stack-mcp（若直接运行服务器脚本则需 mcp 包），要求 Python 3.8 及以上；扫描脚本本身无第三方依赖。未声明任何账号、API 密钥或环境变量。
安装前请注意
generate_tech_stack 会在被扫描的项目目录中写入 TECH_STACK.html 并在浏览器中打开，请只对允许改动的目录使用。生成的页面会从 Google Fonts 加载字体，打开时会访问第三方；除此之外报告为自包含文件。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Generate Tech Stack，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

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 fastapi/full-stack-fastapi-template, unmodified.

[Running generate-tech-stack against fastapi/full-stack-fastapi-template, from pip install to the generated page]

(real CLI output, unscripted — static screenshot if you'd rather not autoplay)

What it produces

Every generated page contains:

SectionDescription
Stat rowTotal tools · Categories · AI Backends · Data Stores
Architecture diagramLayered flow diagram (Consumer → API → AI/NLP → Data/Obs/Frontend)
Bar chartHorizontal bars per category, colour-matched
Tool cardsOne card per category; each tool shows a dot, name, description, and badge
Badge legendExplains pip, dep, optional, core, deploy, ci, etc.
FooterProject name · tool count · generation date
Guided tourSpotlight walkthrough of every section, shown automatically the first time a report is opened; replay anytime with the ? button
Theme toggleSun/moon button next to the tour button switches between dark and light mode

Repository layout

~/.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

Usage

pip (CLI + MCP server)

bash
pip install generate-tech-stack-mcp
generate-tech-stack . TECH_STACK.html    # CLI: scan and write the reportgenerate-tech-stack-mcp                   # stdio MCP server

With pip installed, any MCP host config reduces to:

json
{  "mcpServers": {    "generate-tech-stack": { "command": "generate-tech-stack-mcp" }  }}

Claude Code

/generate-tech-stack

Run it from any project directory. The skill calls scripts/analyze.py and opens the result in your browser.

MCP (Claude Desktop, VS Code, Cursor, Zed, Windsurf, Continue)

bash
pip install mcp

Add to your host's MCP config (replace the path with your actual home directory):

json
{  "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 browser
  • list_tech_stack — returns a JSON summary, no file written

GitHub Copilot Extension

bash
cd copilotnpm installnpm start        # listens on port 3000ngrok 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

Command line (standalone)

bash
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+.

What gets detected

Source fileDetected tools
requirements.txt / pyproject.tomlPython packages (web, DB, AI, testing, observability, security…)
package.jsonNode / npm packages (frameworks, frontend, DB drivers, tooling)
go.modGo language
Cargo.tomlRust language
pom.xml / build.gradleJava / Kotlin
GemfileRuby
composer.jsonPHP
**/*.py sourceOptional/dynamic SDKs via importlib.find_spec() patterns
docker-compose.yml / .envPostgreSQL, Redis, MongoDB, SQLite connection strings
DockerfileDocker
docker-compose.ymlDocker Compose
.github/workflows/GitHub Actions
.gitlab-ci.ymlGitLab CI
alembic.iniAlembic migrations
nginx.conf / CaddyfileReverse proxy
tsconfig.json / src/**/*.tsTypeScript

Detected categories

CategoryColourExamples
Language & RuntimeGreenPython, Go, Rust, TypeScript
Web / API FrameworkPurpleFastAPI, Express, Django, Next.js
Database / StorageGreenSQLAlchemy, Prisma, Redis, ChromaDB
AI SDKsBlueOpenAI, Anthropic, LangChain, GuardrailsAI, NVIDIA NeMo, Presidio
NLP / MLTealspaCy, Transformers, Sentence Transformers
ObservabilityTealPrometheus, OpenTelemetry, Sentry, Loguru
TestingYellowpytest, Jest, Cypress, Playwright
Security / AuthRosePyJWT, bcrypt, Authlib, Helmet
Infrastructure / DeployOrangeDocker, Kubernetes, Celery, Boto3
Frontend / DashboardGrayReact, Vue, Tailwind, Recharts
Messaging / CommsBlueKafka, RabbitMQ, Socket.io
Dev ToolsGrayESLint, Prettier, Vite, TypeScript

Design

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.

See also

  • INSTALL.md — per-platform setup instructions
  • SKILL.md — Claude Code skill specification

来源：README.md，提交 e4a395a

工具

0
SourceWeft 尚未在沙箱中启动过该软件包，因此其工具未知。

版本历史

1
  1. v0.2.2最新Sep 16, 2026

评分

已满足适用检查项的 50%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分

    请保持端点能够响应 MCP 握手；SourceWeft 每 30 天探测一次。

  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头，或保持端点能够响应探测，以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list，或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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