soumyasethy/lazychat-erpnext
Productivity workflowこのページは AI により自動翻訳されています。技術的な詳細は原文をご確認ください。 原文を見る
LazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated).
概要
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
以下は原文 README の抜粋です。原文を見る。
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.
インストール
npx -y mcp-remote https://your-bench.example.com/api/method/lazychat_erpnext.desk_assistant.mcp.handle_bearer --header Authorization: Bearer YOUR_TOKEN