Install
$ agentstack add mcp-baladurgag24-geminigithubprofile-analyzer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
🃏 GitHub Dev Card Generator
Generate beautiful, AI-powered developer cards from any public GitHub profile. Stack: FastAPI · Google ADK · Gemini 2.5 Flash · FastMCP · React/HTML Frontend · Cloud Run
✨ Features
- 🔍 GitHub scraper — fetches profile, repos, languages via GitHub REST API
- 🧠 AI analysis — Gemini 2.5 Flash generates a developer vibe, top skills, and fun facts
- 🎨 5 card themes — hacker, builder, researcher, designer, open-source-hero
- 💾 Persistent cards — saved HTML cards with shareable URLs
- 🤖 ADK agent — full orchestration via Google Agent Development Kit (optional)
- ☁️ Cloud Run ready — one-command deployment
🚀 Quick Start (Local)
1. Prerequisites
- Python 3.12+
- A Gemini API key → Get one free
- (Optional) GitHub token for higher rate limits
2. Set up environment
cd github-card-generator
cp .env.example .env
# Edit .env and add your GEMINI_API_KEY
3. Install dependencies & run backend
cd backend
# Option A: pip
pip install -r requirements.txt
uvicorn main:app --reload --port 8080
# Option B: uv
uv venv && .venv/Scripts/activate # Windows
# or: source .venv/bin/activate # Mac/Linux
uv pip install -r requirements.txt
uvicorn main:app --reload --port 8080
4. Open the frontend
Just open frontend/index.html in your browser — or serve it:
cd frontend
python -m http.server 3000
# Visit http://localhost:3000
The frontend auto-connects to http://localhost:8080.
🐳 Docker Compose (recommended)
# Copy and fill in your keys
cp .env.example .env
# Start both services
docker-compose up --build
# Frontend: http://localhost:3000
# Backend: http://localhost:8080
# API docs: http://localhost:8080/docs
🌐 API Endpoints
| Method | Path | Description | |--------|------|-------------| | POST | /generate | Generate a dev card {"username": "torvalds"} | | GET | /card/{username} | Serve a saved card as HTML | | GET | /cards | List all generated cards | | GET | /health | Health check | | GET | /docs | OpenAPI / Swagger UI |
Example
curl -X POST http://localhost:8080/generate \
-H "Content-Type: application/json" \
-d '{"username": "torvalds"}'
☁️ Deploy to Google Cloud Run
chmod +x deploy.sh
./deploy.sh YOUR_GCP_PROJECT_ID YOUR_GEMINI_API_KEY
Or set env vars first:
export GOOGLE_CLOUD_PROJECT=my-project
export GEMINI_API_KEY=AIza...
./deploy.sh
🧠 Architecture
User
│
▼
frontend/index.html
│ POST /generate
▼
backend/main.py (FastAPI)
│
├── Direct mode: calls MCP tools directly
│ └── mcp_server.py
│ ├── scrape_github() → GitHub REST API
│ ├── analyze_profile() → Gemini 2.5 Flash
│ ├── generate_card_html()
│ └── save_card()
│
└── ADK mode (if google-adk installed):
└── agent.py (github_card_agent)
└── MCPToolset → mcp_server.py (stdio)
🎨 Card Themes
| Theme | Style | Triggered by | |-------|-------|--------------| | hacker | Dark, green terminal | Systems/security/kernel work | | builder | Clean light/blue | Full-stack/web/product builders | | researcher | Dark navy/red | ML/AI/data science/academic | | designer | Light purple/pastel | UI/UX/creative/frontend | | open-source-hero | Dark, amber/gold | Massive OSS contributions |
🔑 Environment Variables
| Variable | Required | Description | |----------|----------|-------------| | GEMINI_API_KEY | ✅ Yes | Gemini API key for AI analysis | | GITHUB_TOKEN | Optional | PAT for 5000 req/hr (vs 60) | | GOOGLE_CLOUD_PROJECT | Cloud only | GCP project ID | | AGENT_ENGINE_ID | Optional | Vertex AI memory bank ID |
🧩 Adding Google ADK (optional)
The backend works without ADK in direct mode. To enable full agent orchestration:
pip install google-adk google-genai
The app auto-detects ADK and switches to agent mode.
📁 Project Structure
github-card-generator/
├── backend/
│ ├── mcp_server.py # 4 MCP tools (scrape, analyze, generate, save)
│ ├── agent.py # ADK agent definition
│ ├── main.py # FastAPI app (direct + ADK modes)
│ ├── deploy_memory.py # Vertex AI memory bank setup
│ ├── requirements.txt
│ ├── Dockerfile
│ └── static/
│ └── cards/ # Generated HTML cards saved here
├── frontend/
│ ├── index.html # Single-page UI
│ └── Dockerfile
├── docker-compose.yml
├── deploy.sh
├── .env.example
└── README.md
🌍 Live Services
| Service | URL | |---------|-----| | Frontend | Open App | | Backend | Backend API | | API Docs | Swagger Docs | | Health Check | Health Endpoint |
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: BALADURGAG24
- Source: BALADURGAG24/GeminiGitHubProfile-Analyzer
- License: MIT
- Homepage: https://github-card-frontend-426860326518.us-central1.run.app/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.