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generate-tech-stack-mcp
Advanced tools
Generate a visual technology-stack inventory (TECH_STACK.html) from any codebase — languages, frameworks, databases, AI SDKs, testing, and infra. CLI + MCP server, stdlib-only scanner.
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.

(real CLI output, unscripted — static screenshot if you'd rather not autoplay)
Every generated page contains:
| Section | Description |
|---|---|
| Stat row | Total tools · Categories · AI Backends · Data Stores |
| Architecture diagram | Layered flow diagram (Consumer → API → AI/NLP → Data/Obs/Frontend) |
| Bar chart | Horizontal bars per category, colour-matched |
| Tool cards | One card per category; each tool shows a dot, name, description, and badge |
| Badge legend | Explains pip, dep, optional, core, deploy, ci, etc. |
| Footer | Project name · tool count · generation date |
| Guided tour | Spotlight walkthrough of every section, shown automatically the first time a report is opened; replay anytime with the ? button |
| Theme toggle | Sun/moon button next to the tour button switches between dark and light mode |
~/.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+.
| Source file | Detected tools |
|---|---|
requirements.txt / pyproject.toml | Python packages (web, DB, AI, testing, observability, security…) |
package.json | Node / npm packages (frameworks, frontend, DB drivers, tooling) |
go.mod | Go language |
Cargo.toml | Rust language |
pom.xml / build.gradle | Java / Kotlin |
Gemfile | Ruby |
composer.json | PHP |
**/*.py source | Optional/dynamic SDKs via importlib.find_spec() patterns |
docker-compose.yml / .env | PostgreSQL, Redis, MongoDB, SQLite connection strings |
Dockerfile | Docker |
docker-compose.yml | Docker Compose |
.github/workflows/ | GitHub Actions |
.gitlab-ci.yml | GitLab CI |
alembic.ini | Alembic migrations |
nginx.conf / Caddyfile | Reverse proxy |
tsconfig.json / src/**/*.ts | TypeScript |
| Category | Colour | Examples |
|---|---|---|
| Language & Runtime | Green | Python, Go, Rust, TypeScript |
| Web / API Framework | Purple | FastAPI, Express, Django, Next.js |
| Database / Storage | Green | SQLAlchemy, Prisma, Redis, ChromaDB |
| AI SDKs | Blue | OpenAI, Anthropic, LangChain, GuardrailsAI, NVIDIA NeMo, Presidio |
| NLP / ML | Teal | spaCy, Transformers, Sentence Transformers |
| Observability | Teal | Prometheus, OpenTelemetry, Sentry, Loguru |
| Testing | Yellow | pytest, Jest, Cypress, Playwright |
| Security / Auth | Rose | PyJWT, bcrypt, Authlib, Helmet |
| Infrastructure / Deploy | Orange | Docker, Kubernetes, Celery, Boto3 |
| Frontend / Dashboard | Gray | React, Vue, Tailwind, Recharts |
| Messaging / Comms | Blue | Kafka, RabbitMQ, Socket.io |
| Dev Tools | Gray | ESLint, Prettier, Vite, TypeScript |
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.
FAQs
Generate a visual technology-stack inventory (TECH_STACK.html) from any codebase — languages, frameworks, databases, AI SDKs, testing, and infra. CLI + MCP server, stdlib-only scanner.
We found that generate-tech-stack-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

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