"Frappe" matching MCP servers:

Allows Frappe Framework apps to function as MCP servers, exposing Python-defined tools for LLM interaction.

Enables AI agents to explore and operate Frappe Framework, ERPNext, and HRMS sites at runtime by discovering installed apps, permission-visible DocTypes, schemas, records, child tables, reports, workflows, workspaces, print formats, files, and translations through the authenticated Frappe session. It also supports guarded create, update, delete, submit, cancel, and workflow actions alongside standard DocType, Custom Field, Property Setter, Client Script, permission, and app-customization export operations, each gated by preview and explicit confirmation.

Enables Frappe Framework apps to function as Streamable HTTP MCP servers by registering Python functions as tools and exposing them through a Werkzeug-compatible endpoint.

Enables Frappe Framework apps to function as Streamable HTTP MCP servers by registering tools and exposing them through Werkzeug-based endpoints.

Enables Frappe Framework apps to act as Streamable HTTP MCP servers, allowing tools to be registered and exposed for LLM clients through an HTTP endpoint. It handles JSON-RPC requests and tool schema generation for Frappe or other Werkzeug-based servers.

Enables Frappe Framework apps to function as Streamable HTTP MCP servers, exposing registered tools to clients through a WSGI-compatible endpoint. Automatically generates tool input schemas from type annotations and docstrings.

Enables applications built on the Frappe Framework to expose registered tools as a Streamable HTTP MCP server over a Werkzeug/Frappe REST endpoint, with automatic input schema generation from Python function signatures and docstrings.

Enables Frappe Framework apps to function as Streamable HTTP MCP servers by exposing registered Python functions as tools for MCP clients over a WSGI-compatible endpoint.

Enables Frappe Framework apps to function as Streamable HTTP MCP servers and expose registered Python functions as callable tools for MCP clients.

Enables applications built on the Frappe Framework to serve MCP tools over Streamable HTTP, letting LLM clients call registered Python functions through a Werkzeug-compatible endpoint.

Enables interaction with Frappe Framework sites through comprehensive document operations, schema introspection, report generation, and method execution. Provides secure API-based access to create, read, update, and delete Frappe documents while supporting financial reporting and DocType management.

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.

Enables MCP clients to securely read, write, and maintain Frappe/ERPNext sites with role-based permissions, audit logging, and dry-run safeguards.

Allows AI assistants to interact with Frappe applications through the official REST API, enabling document CRUD operations, schema handling, and detailed API instructions.

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.

Automates setup and configuration for frappe-mcp, enabling management of multiple Frappe projects with easy switching and binary downloads.

Provides AI assistance for Frappe/ERPNext development with tools for creating DocTypes, running bench commands, and managing apps.

Enables AI assistants to interact with ERPNext/Frappe instances through the REST API, allowing document management, report execution, and DocType operations using natural language.

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.

Resolves an authenticated MCP HTTP request to an existing, enabled Frappe User, enabling downstream consumers to run request-scoped permission checks.