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mcp-erpnext

Connector Documents & Content Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Enables AI agents to interact directly with ERP data and workflows, reducing manual data entry and bridging the gap between LLM reasoning and core business o…

Let AI agents operate your ERPNext — documents, workflows, and interactive viewers

116 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables AI agents to interact directly with ERP data and workflows, reducing manual data entry and bridging the gap between LLM reasoning and core business operations.

Operations managers and engineering teams automating enterprise resource planning tasks through agentic workflows.

Claude Code Claude Cowork Claude Chat

https://github.com/Casys-AI/mcp-erpnext

By Casys-AI

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add mcp-erpnext -- npx -y mcp-erpnext

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Retrieve specific documents from my ERPNext database
CostFree

Trust Signals Auto-scanned

Stars116Last updated2026-10-31LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-31 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Emerging

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 116 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 116 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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