Enables interaction with Frappe and ERPNext sites through their REST API endpoints. It supports standard HTTP methods for performing CRUD operations and managing site data using natural language.
A secure, audit-logged MCP server for Frappe that exposes specific DocTypes and operations to AI agents with granular permissions and field-level control.
Allows AI assistants to interact with Frappe applications through the official REST API, enabling document CRUD operations, schema handling, and detailed API instructions.
MCP server that enables LLMs to interact with ERPNext/Frappe sites for document CRUD, search, reports, workflows, and analytics, respecting user permissions and logging all actions.
Manage your Frappe benches and sites directly from Claude.ai through natural language, enabling operations like restarting services, listing sites, running Python scripts, and viewing logs.
Enables AI assistants to interact with ERPNext/Frappe instances through the REST API, allowing document management, report execution, and DocType operations using natural language.
A TypeScript-based server that enables AI assistants to interact with ERPNext/Frappe systems through the Model Context Protocol, allowing access to documents, creation/updating of records, and running reports.
This is a TypeScript-based MCP server that provides integration with ERPNext/Frappe API. It enables AI assistants to interact with ERPNext data and functionality through the Model Context Protocol.
Enables Frappe Framework applications to function as Streamable HTTP MCP servers by providing a WSGI-compatible implementation for tool registration and JSON-RPC handling. It allows developers to expose Frappe app functionality to LLMs through a simple decorator-based interface.