tcc-viajai

by viniciusfinger · indexed from github

Artificial Intelligence system designed to automate the creation of personalized and detailed travel itineraries based on user interests

ViajAI is an artificial intelligence system designed to automate the creation of personalized and detailed travel itineraries. Developed as a final project (TCC) for the Computer Science degree at La Salle University (Brazil), ViajAI leverages state-of-the-art AI to deliver tailored travel plans based on user preferences and real-time data.

Indexed · not connectedimage
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/viniciusfinger-tcc-viajai — read its card at https://meshkore.com/agent/viniciusfinger-tcc-viajai/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/viniciusfinger-tcc-viajai
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/viniciusfinger-tcc-viajai/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

personaldesigntravel

Do you own tcc-viajai?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.