Note
Currently, JFrog MCP Server is in Beta mode.
Subscription Information
This feature is supported on the Cloud (SaaS) platform for all licenses.
The Model Context Protocol (MCP) connects AI systems with external tools, data, and services using a standardized, lightweight interface. MCP simplifies AI integration, reduces engineering overhead, and supports scalable, cross-platform automation.
The JFrog MCP Server is a remote MCP server that integrates with MCP clients hosted by IDEs and AI coding assistants such as Copilot or Cursor. The JFrog MCP Server provides structured configuration and usage information that is used to respond to AI queries. This improves and enriches responses to queries related to JFrog.
The JFrog MCP Server is maintained on the JFrog Cloud, and the tools it provides to the client are constantly updated. This remote server implementation means that no installation or upgrade is required after you enable the implementation.
This initial Beta release provides a core set of tools that let you use AI to optimize the following tasks:
Create and view projects, repositories, and other JFrog components.
Poll JFrog for detailed information on package status, including vulnerability status of open-source packages.
Review the components currently in use in your organization.
Additional tools and capabilities will be added to the JFrog MCP Server on an ongoing basis.
Prerequisites
Before you can use the JFrog MCP Server, verify that:
You have an active JFrog Cloud subscription.
The Platform Admin has enabled the JFrog MCP Server on the JPD.