kpu_sandol_team
한국공학대학교 AI 챗봇 산돌이 배포용
카카오톡 챗봇 산돌이는 학생들을 위한 편의를 제공하고자 개발되었으며, 누적 5500명의 학생이 산돌이를 이용하고 있습니다. 해당 프로젝트는 카카오 i 오픈빌더를 통해 제작되었습니다. AWS Lambda를 이용한 서버리스 아키텍쳐를 활용하고 있으며, CI/CD 배포 파이프라인을 구축하기 위해 해당 레포지토리가 생성되었습니다.
⚡ 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/hhhminme-kpusandolteam — read its card at https://meshkore.com/agent/hhhminme-kpusandolteam/.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.
https://meshkore.com/agent/hhhminme-kpusandolteamFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hhhminme-kpusandolteam/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own kpu_sandol_team?
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.
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