Gemina FileTag

Tag, rename, and enrich PDFs and images with structured metadata extracted via OCR + LLM. Built for AI agents that need to make sense of unstructured document piles.

What it does

• Tag — extract structured fields (title, date, party names, document type, language, summary, etc.) from any PDF or image.
• Rename — generate descriptive filenames from extracted metadata.
• Enrich — embed the metadata back into the file itself (PDF info dictionary, EXIF) so it stays with the file forever.

Why use it

• Zero setup, free tier — 1,500 tags/month, no credit card.
• Hosted Streamable HTTP — no local install, no Docker, no model downloads.
• Document-type agnostic — invoices, receipts, contracts, IDs, screenshots, handwritten notes.
• Predictable schema — returns the same field shape every time; null when unsure.

Quick start

{
  "mcpServers": {
    "gemina": {
      "type": "streamableHttp",
      "url": "https://api.gemina.co/api/v1/mcp/",
      "headers": {
        "X-API-Key": "YOUR_GEMINA_API_KEY"
      }
    }
  }
}

Get a free API key at console.gemina.co (https://console.gemina.co/registration/create-account) — takes under a minute, no credit
card.

Pricing

┌──────┬────────────┬─────────────┐
│ Tier │ Tags/month │    Cost     │
├──────┼────────────┼─────────────┤
│ Free │ 1,500      │ $0          │
├──────┼────────────┼─────────────┤
│ Paid │ unlimited  │ usage-based │
└──────┴────────────┴─────────────┘

Links

- Website: https://www.gemina.co/filetag
- GitHub: https://github.com/tommyil/gemina-mcp
- Console: https://console.gemina.co
- MCP Registry: co.gemina/filetag