JFrog has introduced a Model Context Protocol (MCP) server that allows developers to link Large Language Models (LLMs) with enterprise tools and data sources securely. Previously, integrating AI agents created development bottlenecks due to the need for custom code. The MCP server acts as an API for seamless integration, allowing users to issue commands in plain English. This server enhances visibility into open-source vulnerabilities and simplifies complex queries, fostering quicker development. Launching in beta, it is free for JFrog customers and will officially roll out soon.
“Until recently, connecting AI agents to diverse enterprise systems created development bottlenecks, with each integration requiring custom code and ongoing maintenance,” noted company CTO Yoav Landman.
“It opens the gate for many systems to be exposed to LLMs,” he said.
“By allowing developers straight from our IDE to write in plain English what they need, and executing, is what customers want, because it offloads a lot of administration and empowers developers to be more productive.”
“We are seeing a huge move towards LLM-enabled development environments,” he noted.
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