JFrog Ltd., known for its innovative Liquid Software solutions, has officially launched its new Model Context Protocol (MCP) Server a major advancement designed to transform how AI agents and Large Language Models (LLMs) interact with the JFrog Software Supply Chain Platform.

This groundbreaking architecture empowers developers to use AI tools and MCP clients, such as popular coding agents and integrated development environments (IDEs), to securely access and operate within the JFrog Platform. As a result, development teams can significantly boost productivity and streamline their workflows.

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A Smarter Way to Build and Deliver Software

With the launch of the MCP Server, JFrog is making it easier for developers to tap into AI agents across its platform—helping them work smarter and faster with minimal hassle. This direct integration allows faster, more secure, and reliable software development and delivery especially at scale.

“The rise of AI has reshaped the developer ecosystem,” said Yoav Landman, Co-Founder and CTO of JFrog. “With this release, we’re opening the JFrog Platform to seamless integrations with MCP-enabled AI tools. Developers can now embed intelligent agents directly into their toolchains and experience self-service AI across every phase of the development lifecycle.”

How It Works: AI-Powered Automation Meets Developer Productivity

The Model Context Protocol (MCP) acts as an open, industry-standard layer that lets developers interact with the platform using natural language—powered by AI agents for a smoother, more intuitive experience. Developers can execute tasks like “Create a new local repository” or “Check for this package in our organization” without leaving their IDE.

This eliminates context switching, surfaces open-source vulnerabilities in real time, and allows developers of all skill levels to perform advanced queries reducing bottlenecks and improving software security.

Prioritizing Security with Built-In Protections

JFrog’s focus on secure architecture is clear. External MCP servers provide added flexibility, but they can also come with potential risks. JFrog’s Security Research Team uncovered vulnerabilities like CVE-2025-6514, which could allow remote code execution via hijacked MCP clients. To counter such threats, JFrog’s MCP Server exclusively uses trusted protocols such as HTTPS and integrates OAuth 2.1 authentication to enforce scoped access.

Key Features of JFrog’s MCP Server

  • Insightful Tooling: Create and manage projects, repositories, monitor build status, and access real-time vulnerability insights.
  • Cloud-Native, Centralized Management: The MCP Server is available to all JFrog SaaS and multi-tenant users, offering automatic updates with minimal maintenance.
  • Advanced Security Protocols: Secure user authentication and identity-based access ensure each operation is validated.
  • Built-In Monitoring: Developers gain visibility through detailed logs and event tracking to optimize tool usage.

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FAQs

1. What is Model Context Protocol (MCP) in software development?

Model Context Protocol (MCP) is an open standard that allows AI systems to connect with tools, services, and data platforms like JFrog. It enables seamless, natural-language-based commands that automate development tasks directly within IDEs.

2. How do AI agents improve developer workflows on the JFrog Platform?

AI agents allow developers to perform complex tasks using simple commands, reduce context switching, and surface critical information like vulnerabilities. This leads to faster coding cycles, better decision-making, and increased productivity.

3. Is JFrog’s MCP Server secure for enterprise use?

Yes. JFrog’s MCP Server is designed with enterprise-grade security, including HTTPS protocols, OAuth 2.1-based authentication, and scoped access control. These features help prevent unauthorized access and reduce risks from emerging vulnerabilities.

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