Zoo Code Integrations

Visual Studio Code (VS Code) is Microsoft’s open-source AI code editor designed to make coding faster, smarter, and more collaborative. It supports thousands of extensions and nearly every programming language, offering developers a lightweight yet powerful environment for writing, testing, and debugging code. With AI-powered features like GitHub Copilot, Next Edit Suggestions, and Agent Mode, VS Code helps you code with precision, automate complex tasks, and streamline development workflows. It integrates seamlessly with cloud services, remote repositories, and tools like Git, Docker, and Azure. The editor is fully customizable, allowing you to personalize your layout, color themes, and keyboard shortcuts. Whether coding locally or in the browser, VS Code delivers a complete development experience for individuals and teams alike.

IntelliJ IDEA is the JetBrains IDE for professional Java and Kotlin development, where you can run your agents and verify their work. The IDE’s code intelligence resolves types, usages, and dependencies across your codebase. This allows you to make safe changes and helps agents use fewer tokens and take fewer wrong turns. Built-in tools for debugging, testing, and profiling help you verify those changes before you ship. These capabilities come ready for your JVM stack, with support for the latest Java and Kotlin features, as well as frameworks and platforms like Spring, Jakarta EE, Micronaut, and Quarkus, plus the build tools and app servers your projects rely on. Choose your agents and models, and run multiple agents in parallel all in one place, without being tied to a single provider. Use your own API key, an existing subscription, or JetBrains AI, and switch as your needs change. You decide how to work and what ultimately ships.

Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.