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Securely connect AI agents to Frappe with audited, granular data access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "frappe-mcp-server" yet — see the docs or source repo.
Design a configuration for frappe-mcp-server that allows an AI agent to read only the Sales Order and Customer DocTypes, blocks edits to sensitive fields, and logs all access for auditing. Provide the setup approach, permission rules, and examples.
A Frappe access control plan with DocType allowlists, field-level restrictions, and audit logging guidance.
I want an AI agent to automatically create Issue records in Frappe, but only write the title, description, and priority fields, and never read HR-related DocTypes. Explain how to implement least-privilege access with frappe-mcp-server.
A least-privilege operation design defining allowed actions, writable fields, blocked areas, and security considerations.
Help me review the security design of frappe-mcp-server, focusing on permission granularity, field-level control, exposed operations, and audit log completeness. List potential risks and recommendations.
A security review checklist and recommendations to reduce data and operational risks when connecting AI to Frappe.
Securely connect AI to Frappe or ERPNext for documents, workflows, reports, and files.
Safely manage ERPNext documents, reports, workflows, and analytics with permissions.
Securely connect AI to Odoo ERP for querying and updating business data.
Connect AI to Dolibarr to manage customers, proposals, contracts, and invoices.
Wrap a REST API as MCP tools for AI agent integration.
Use natural language to query ftrack projects, tasks, and production statuses.