Atlas-G Protocol
Agentic Portfolio System - A compliance-grade MCP server that serves as both human and machine-readable portfolio.
๐ฏ Overview
Atlas-G Protocol transforms a traditional developer portfolio into an autonomous agent that demonstrates compliance-grade engineering in real-time. Instead of reading about experience with "strict state management" and "hallucination mitigation," users interact with an agent that actively demonstrates these capabilities.
Key Features
- MCP Server: Machine-readable portfolio accessible by AI development environments
- Governance Layer: Real-time hallucination mitigation via knowledge graph validation
- Live Audit Log: Streams internal compliance checks to the UI
- WebSocket Streaming: Real-time "Thought-Action" loop visualization
- CSP Headers: Configured for DEV.to iframe embedding
๐ Privacy & Data Governance
The Atlas-G Protocol follows a "Private-by-Design" pattern to ensure sensitive career data isn't leaked in public repositories:
- Template Pattern: All proprietary information (work history, PII) is stored in
data/resume.txt, which is explicitly excluded from the repository via.gitignore. - resume.template.txt: A sanitized template is provided for open-source users to populate with their own data.
- Hallucination Mitigation: The agent's governance layer validates every claim against the local
resume.txtknowledge graph before responding.
๐๏ธ Architecture
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Cloud Run Instance โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ React Frontend โโโโโบโ FastAPI Backend โ โ
โ โ (Terminal UI) โ โ - Agent Core โ โ
โ โโโโโโโโโโโโโโโโโโโ โ - Governance Layer โ โ
โ โ - MCP Server โ โ
โ โโโโโโโโโโโโโฌโโโโโโโโโโโโโโ โ
โ โ โ
โ โโโโโโโโโโโโโผโโโโโโโโโโโโโโ โ
โ โ Tools โ โ
โ โ - query_resume โ โ
โ โ - verify_employment โ โ
โ โ - audit_project โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Quick Start
Prerequisites
- Python 3.11+
- Google Cloud API Key (for Gemini)
Installation
# Clone the repository
cd Atlas-G\ Protocol
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies
pip install -e ".[dev]"
# Copy environment template
cp .env.example .env
# Edit .env with your GOOGLE_API_KEY
Run Locally
# Start the server
uvicorn backend.main:application --reload --port 8080
# Open http://localhost:8080
Run Tests
pytest backend/tests/ -v
๐ง MCP Integration
Connect your AI development environment to the Atlas-G MCP server:
{
"mcpServers": {
"atlas-g-protocol": {
"command": "python",
"args": ["-m", "backend.mcp_server"]
}
}
}
Available Tools
| Tool | Description |
|---|---|
query_resume |
Semantic search over resume knowledge graph |
verify_employment |
Cross-reference employment claims |
audit_project |
Deep-dive into project architecture |
โ๏ธ Deploy to Cloud Run
gcloud run deploy atlas-g-portfolio \
--source . \
--allow-unauthenticated \
--region us-central1 \
--labels dev-tutorial=devnewyear2026 \
--set-env-vars GOOGLE_API_KEY=your_key_here
๐ Project Structure
Atlas-G Protocol/
โโโ backend/
โ โโโ __init__.py
โ โโโ main.py # FastAPI application
โ โโโ agent.py # Thought-Action loop
โ โโโ governance.py # Hallucination mitigation
โ โโโ mcp_server.py # FastMCP wrapper
โ โโโ config.py # Settings management
โ โโโ tools/
โ โโโ resume_rag.py
โ โโโ verification.py
โโโ frontend/ # React UI (Phase 3)
โโโ data/
โ โโโ resume.txt # Knowledge graph source
โโโ Dockerfile
โโโ pyproject.toml
โโโ mcp_config.json
๐ Security
- CSP Headers:
frame-ancestors 'self' https://dev.to https://*.dev.to - Governance Layer: All AI responses validated against resume data
- PII Detection: Automatic filtering of sensitive information
- Jailbreak Protection: Pattern-based detection and blocking
๐ License
MIT License - See LICENSE for details.
๐ข Credits
- Audio: Emergency Alarm.wav by Mozfoo (CC0)