ERPNext MCP
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to directly interact with ERPNext/Frappe business data and operations, including document management, submissions, cancellations, reports, PDF generation, file uploads, and whitelisted method calls, with per-request permission enforcement.MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to interact with ERPNext/Frappe instances through the REST API, allowing document management, report execution, and DocType operations using natural language.6MIT
- AlicenseNot gradedqualityAmaintenanceEnables LLM clients to securely read and write Frappe/ERPNext data under a real user's permissions, with audited calls and granular access control.AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceIntegrates with ERPNext/Frappe API to enable AI assistants to interact with ERPNext data and create custom applications including DocTypes, workflows, scripts, and more.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI models to securely interact with Frappe Framework/ERPNext instances, supporting document CRUD, RPC methods, file management, workflows, reporting, and more via the Model Context Protocol.238 npmISC
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with any ERPNext instance through comprehensive CRUD operations, advanced permissions, and a web chat interface.1MIT
TDQS
Scored across 31 tools
The set mixes specific resource tools like doc_create and stock_balance with generic escape hatches like api_request and call_method, so there is definite overlap for document operations. However, the detailed descriptions and the strong erpnext_ prefix give agents enough clues to usually select the intended tool.
Most tools follow an erpnext_<resource>_<action> pattern, such as doc_create, plan_list, and input_finalize, which is predictable and readable. Minor deviations like call_method, api_request, doctype_schema, and stock_balance break the strict pattern but are still intuitive.
31 tools is above the 25+ threshold for a coherent MCP surface, and a large portion are infrastructure mechanics such as input_begin/append/finalize, plan_list/inspect/execute, and result_read. ERPNext is a broad domain, but this count feels heavy and could be consolidated.
The surface covers core ERPNext workflows well: document lifecycle, BOMs, work orders, stock, accounting, reports, and process tracing, with generic api_request and call_method as backstops. Minor gaps like report discovery or attachment-specific helpers exist but are workable through generic routes.