Connects your AI coding assistant directly to JFrog's artifact management platform through a remote server implementation. You get tools for creating and viewing projects and repositories, running AQL queries to search artifacts, checking package curation status, and pulling security reports on CVEs and vulnerabilities. Authentication happens via OAuth, so no API keys to manage. The server runs on JFrog Cloud and updates automatically, meaning you don't install anything locally after the initial configuration. Useful when you need to verify approved packages during development, query the JFrog Catalog for package versions and licenses, or track vulnerabilities in your dependencies without leaving your IDE.
The Model Context Protocol (MCP) connects AI systems with external tools, data, and services using a standardized, lightweight interface.
JFrog MCP Server empowers developers, bringing the advanced capabilities of the JFrog platform to the development environment. The JFrog MCP Server integrates with IDEs and AI coding assistants such as VS Code, Cursor, Claude, Kiro, and Codex to respond to natural-language AI queries with rich, actionable information from the JFrog platform.
Among the capabilities you can access with direct, friendly AI interactions:
Use these resources and real-time information for various use cases. For example:
And much more. See the full tool reference for everything the server exposes.
Note: JFrog MCP Server is currently in Beta.
The JFrog MCP Server is hosted on JFrog Cloud, and the tools it provides to the client are continuously updated — you automatically get new features and improvements as they are released, with no installation or upgrade required on the client side.
You connect to the JFrog MCP Server using OAuth for authentication. This eliminates the need to manage API keys.
Note: Because this is a remote server, the tool set evolves on the server. The
TOOLS.mdreference reflects the current tool surface.
The JFrog Remote MCP Server is available to JFrog users with a Cloud (SaaS) subscription.
Subscription information: Supported on the Cloud (SaaS) and Self-Managed platforms for all licenses.
Self-Managed (Beta): A self-managed JFrog MCP Server is also available. See MCP Server Installation for Helm and Docker Compose deployment.
In the examples below, replace <JFROG_PLATFORM_URL> with your JFrog platform URL (for example, https://mycompany.jfrog.io).
{
"mcp": {
"servers": {
"jfrog": {
"url": "https://<JFROG_PLATFORM_URL>/mcp"
}
}
}
}
{
"mcpServers": {
"jfrog": {
"url": "https://<JFROG_PLATFORM_URL>/mcp"
}
}
}
For more MCP clients (Kiro, Claude, Codex, and others), see Add the JFrog MCP Server to an MCP client.
The server exposes tools across Access, Artifactory, Distribution, Evidence, Security, Curation, AppTrust, and Workers.
See the full reference in TOOLS.md.