An OAuth-protected MCP sidecar for Frappe applications, enabling secure access to Frappe tool packs (e.g., personal health metrics) by validating OAuth tokens and issuing internal assertions.
Enables 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.
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 Claude, ChatGPT, and other LLMs to interact with ERPNext sites through natural language, supporting document CRUD, search, reports, workflows, and custom tools, while respecting user permissions and logging all calls.
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.
Enables AI assistants to interact with ERPNext/Frappe instances through the REST API, allowing document management, report execution, and DocType operations using natural language.
Integrates with ERPNext/Frappe API to enable AI assistants to create, read, update, and list documents, run reports, and authenticate via the Model Context Protocol.
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.