AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分钟完成验证Medical records scattered across Gmail and Google Drive? Oncofiles reads, organizes, and makes them available through AI. For cancer patients and caregivers. Works with Claude & ChatGPT.
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Your medical records are scattered across Gmail, Google Drive, and Calendar. Oncofiles reads everything, organizes it, and makes it available through AI — so you can ask about your health naturally in Claude or ChatGPT.
Oncofiles is an MCP server built for cancer patients and their caregivers. It connects to your Google Drive, Gmail, and Calendar, reads all your medical documents (lab results, CT scans, pathology reports, prescriptions), and makes them accessible through any AI chat — Claude, ChatGPT, or any MCP client.查看完整 README ↗Your medical records are scattered across Gmail, Google Drive, and Calendar. Oncofiles reads everything, organizes it, and makes it available through AI — so you can ask about your health naturally in Claude or ChatGPT.
oncofiles.com | Demo Dashboard | Privacy Policy
Oncofiles is an MCP server built for cancer patients and their caregivers. It connects to your Google Drive, Gmail, and Calendar, reads all your medical documents (lab results, CT scans, pathology reports, prescriptions), and makes them accessible through any AI chat — Claude, ChatGPT, or any MCP client.
Built from real need: Created by a caregiver managing his wife's cancer treatment. Hundreds of documents, dozens of doctors, constantly changing lab results. Oncofiles organizes the chaos so you can focus on treatment, not on finding papers.
Sister project: Oncoteam — an AI agent that analyzes your Oncofiles data: tracks lab trends, searches clinical trials, and prepares questions for your oncologist.
Your data, your control: Everything stays in your Google Drive. No third-party data processing. Disconnect anytime — your files are always yours.
Oncofiles supports multiple patients on a single instance. Each patient gets:
onco_* tokenPOST /api/patients with {patient_id, display_name} — returns a bearer token/oauth/authorize/drive?patient_id=X to authorize document syncPOST /api/sync-trigger with {patient_id} to import documents┌─────────────────┐ MCP Protocol ┌──────────────┐
│ Claude / GPT │◄────────────────────► │ Oncofiles │
│ (AI Assistant) │ streamable-http │ MCP Server │
└─────────────────┘ └──────┬───────┘
│
┌─────────────┼─────────────┐
│ │ │
┌─────▼─────┐ ┌────▼────┐ ┌─────▼─────┐
│ SQLite / │ │ Google │ │ Anthropic │
│ Turso │ │ Drive │ │ Files API │
└───────────┘ └─────────┘ └───────────┘
Stack: Python 3.12+ · FastMCP 3.1 · Pydantic · SQLite/Turso · Railway
# Clone and install
git clone https://github.com/peter-fusek/oncofiles.git
cd oncofiles
uv sync --extra dev
# Run locally (stdio mode for Claude Desktop)
uv run oncofiles-mcp
# Run tests
uv run pytest
# Lint
uv run ruff check
# Required
DATABASE_PATH=data/oncofiles.db
# Optional — cloud database
TURSO_DATABASE_URL=libsql://...
TURSO_AUTH_TOKEN=...
# Optional — Google Drive sync
GOOGLE_DRIVE_FOLDER_ID=...
GOOGLE_OAUTH_CLIENT_ID=...
GOOGLE_OAUTH_CLIENT_SECRET=...
# Optional — remote access
MCP_TRANSPORT=streamable-http # default: stdio
MCP_HOST=0.0.0.0
MCP_PORT=8080
MCP_BEARER_TOKEN=...
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"oncofiles": {
"command": "uv",
"args": ["run", "oncofiles-mcp"],
"cwd": "/path/to/oncofiles"
}
}
}
Oncofiles works with ChatGPT's MCP integration (Developer Mode). Point ChatGPT to your instance's /mcp endpoint with a bearer token.
The included Dockerfile is ready for Railway deployment:
Live instance: oncofiles.com
src/oncofiles/
├── server.py # FastMCP server, auth, routes, scheduler
├── database/ # Mixin-based DB layer (SQLite/Turso)
├── tools/ # 14 tool modules (76 tools)
│ ├── documents.py # CRUD, search, view, versioning
│ ├── lab_trends.py # Lab values, trends, safety checks
│ ├── clinical.py # Treatment events, research log
│ ├── research.py # PubMed, ClinicalTrials.gov search
│ └── ...
├── sync.py # Bidirectional Google Drive sync
├── gmail_sync.py # Medical email detection and import
├── calendar_sync.py # Calendar event classification
├── enhance.py # AI metadata extraction (Haiku)
├── patient_middleware.py # Per-patient token → context resolution
├── patient_context.py # Patient clinical profile
└── models.py # Pydantic models
Listed on the MCP Registry as io.github.peter-fusek/oncofiles.
See CONTRIBUTING.md for guidelines.
Peter Fusek — CEO & Founder
Serial entrepreneur and AI strategist. 4 years at Tatra banka. Co-founded marketlocator (exit to Deutsche Telekom). Advisor to VÚB Bank CEO. 18+ years building technology products.
Built Oncofiles from personal need — managing his wife's cancer treatment across hundreds of documents, dozens of doctors, and constantly changing lab results.
Peter Čapkovič — CTO & Co-founder
Senior IT architect with 20+ years in enterprise banking (VÚB). Expert in .NET, Python, SQL, and systems architecture. Led architecture across all Instarea products.
Architecture, development, operations — everything under one roof.
Instarea — 18 years, 23 products shipped. From telecom analytics and enterprise clients (Callinspector) to mobile-first fintech (InventButton), big data exits (marketlocator → Deutsche Telekom), IoT platforms, and AI-first products (PulseShape, ReplicaCity, HomeGrif).
Oncofiles and Oncoteam are Instarea's latest — built with the same engineering discipline that delivered enterprise-grade products for banking, telecom, and data industries.
10+ verified, synchronized team members available across front-end, back-end, integration, data science, UX/UI, marketing, and cloud ops.
"We take it personally, with our own faces, like family and at work."