soumyasethy/lazychat-erpnext
Productivity workflow이 페이지는 AI로 자동 번역되었습니다. 기술적인 세부 사항은 원문을 확인하세요. 원문 보기
LazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated).
개요
95 permission-scoped tools · two-phase mutations · composer-critic verification · BYO LLM ↑ 78-second flagship walkthrough — stakeholder ask → tool dispatch → report URL → BYO LLM in one shot. (Want HD? ▶ download the MP4 .) ↑ Still hero — the post-dispatch state of the panel, mid-conversation. "Hey, I need to verify which December purchase invoices have payment entries against them. Can we get a report by EOD?" That ask used to mean opening 3 Frappe doctypes, writing a custom Query Report, debugging joins, fixing field names, and probably a meeting. With lazychat, the consultant types the stakeholder's words verbatim into the chat panel. Step 1 — Type the stakeholder's request The consultant pastes the verbatim ask into the chat composer. Step 2 — Lazychat dispatches tools, returns data describe_doctype → run_sql_select → inline result table. Real data. No copy-pasting from /api/method .
README
원문 README의 일부입니다. 원문 보기.
From stakeholder request to delivered report — in minutes
“Hey, I need to verify which December purchase invoices have payment entries against them. Can we get a report by EOD?”
That ask used to mean opening 3 Frappe doctypes, writing a custom Query Report, debugging joins, fixing field names, and probably a meeting. With lazychat, the consultant types the stakeholder’s words verbatim into the chat panel.
설치
npx -y mcp-remote https://your-bench.example.com/api/method/lazychat_erpnext.desk_assistant.mcp.handle_bearer --header Authorization: Bearer YOUR_TOKEN