LazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated). Bring your own LLM: any OpenAI-compatible or Anthropic key, stays in your browser. Also ships an MCP server (101 permission-scoped tools).
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Lazychat Erpnext is an MCP server that LazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated). Bring your own LLM: any OpenAI-compatible or Anthropic key, stays in your browser. Also ships an MCP server (101 permission-scoped tools). Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 35/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"lazychat-erpnext": {
"args": [
"-y",
"mcp-remote",
"https://your-bench.example.com/api/method/lazychat_erpnext.desk_assistant.mcp.handle_bearer",
"--header",
"Authorization: Bearer YOUR_TOKEN"
],
"command": "npx"
}
}
}Are you the author?
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HERO VIDEO — 78s Playwright-driven flagship recording at 1440×900. Story arc: Hook (4s) → Agitate (6s) → Open + type Q1 (8s) → Tool dispatch + 324-row result table (14s) → Q2 plan + Apply + report URL (23s) → BYO LLM curl-paste (15s) → CTA (10s). All chat content via synthetic postMessage injection — DemoCo Industries data only, zero brand leak. Spec: docs/superpowers/specs/2026-05-10-flagship-marketing-video.md
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Talk to ERPNext like a senior consultant.
95 permission-scoped tools · two-phase mutations · composer-critic verification · BYO LLM
"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.
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Step 1 — Type the stakeholder's request The consultant pastes the verbatim ask into the chat composer.
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Step 2 — Lazychat dispatches tools, returns datadescribe_doctype → run_sql_select → inline result table. Real data. No copy-pasting from /api/method.
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Step 3 — Stage the report, click Applyprepare_create_report
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