The new mCP Marketplace is a game-changer for Client, the autonomous coding agent. This centralized hub allows you to easily discover, install, and configure mCP (Model Context Protocol) servers, which expand Client's capabilities and enable seamless data access and AI-powered automation.

Previously, integrating mCP servers required manual GitHub searches, JSON file configurations, and troubleshooting. The mCP Marketplace simplifies this process, allowing you to install the desired mCP servers with just a single click. This streamlined approach ensures that you can quickly and effortlessly enhance Client's functionality, without the hassle of complex setup.

The mCP Marketplace offers a curated selection of AI-powered tools, handpicked by the Client team. You can browse through the available mCP servers, each pre-configured to work seamlessly with Client. This eliminates the need for manual backend integration, saving you valuable time and effort.

With regular updates to the mCP Marketplace, you can stay up-to-date with the latest mCP servers, ensuring that your Client installation is always equipped with the most cutting-edge capabilities. This continuous expansion of the mCP ecosystem will further improve your seamless data access and AI-powered automation, particularly in the realm of coding.

The introduction of the mCP Marketplace is a significant step forward, simplifying the integration of powerful AI-driven tools within the Client ecosystem. Embrace this new feature and unlock the full potential of Client's autonomous coding capabilities.

The new version of Client (3.4) introduces support for Mermaid diagrams, which allows you to visualize complex architectures, workflows, and system diagrams directly within the chat interface. This feature makes it easier to see the bigger picture of your plans and projects.

With the Mermaid diagram support, Client can now generate flowcharts, sequence diagrams, and mind maps in real-time. Simply chat as usual, and when a diagram would be helpful, Client will instantly create one. You can then click on any diagram to expand and explore the details.

This new capability streamlines the process of mapping out projects, debugging processes, and structuring AI workflows. By having the ability to visualize these complex structures directly within the chat, you can better understand and communicate the various components and their relationships.

The integration of Mermaid diagrams in Client's Plan mode is a valuable addition, as it enhances the tool's ability to provide a comprehensive view of your work. This feature, combined with the other updates in version 3.4, such as the mCP Marketplace and improved Git and Terminal integrations, further solidifies Client's position as a powerful autonomous coding agent within your development workflow.

The latest update to the client introduces two powerful new features that streamline collaboration and development workflows - the @git mention and the @terminal mention.

The @git mention allows you to reference the current working changes or specific commits directly in your chat. This makes it easy to discuss and review code modifications without having to switch contexts. Simply use the @git mention, and client will pull in the relevant Git information, enabling seamless discussions around your codebase.

The @terminal mention takes collaboration a step further by allowing you to reference command outputs and errors directly from the terminal. This is particularly useful when debugging issues, as you can quickly share terminal content with your team without the need for manual copy-pasting. The @terminal mention ensures that all the necessary information is available right within the chat, enhancing the efficiency of your troubleshooting efforts.

These new mention features, combined with client's existing capabilities, create a truly integrated development environment. By bridging the gap between chat, version control, and the terminal, client empowers you and your team to work together more effectively than ever before.

The latest version of the client introduces several new and improved AI model integrations, providing users with greater flexibility in choosing the right model for their coding, vision, language, and other AI-powered workflows.

The client now supports the Alibaba Qin 2.5 coder, as well as the DeepSeeR1 and V3 models from the VL model family. These additions, along with the continued support for AWS Bedrock profile integrations, give users a broader range of AI capabilities to choose from.

Furthermore, the client's advanced settings have been expanded to offer more customization options. Users can now fine-tune various parameters, such as the context window and output settings, to tailor the tool to their specific workflow requirements. Additionally, users can adjust the browser tool behavior to better suit their preferences and needs.

This increased flexibility in AI model selection and customization settings empowers users to optimize the client's performance and capabilities, ensuring they can tackle a wide range of AI-driven tasks and projects more effectively.

The latest update to the client introduces a seamless transition between the "Plan" and "Act" modes, allowing users to maintain their current work context as they switch between planning and execution. This feature ensures that you don't lose track of what you're doing, providing a more streamlined and efficient workflow.

Additionally, the update includes the introduction of visual checkpoints, which help you stay informed on the progress of your tasks. These checkpoints act as clear starting points for new tasks, making it easier to revert to a specific point in the process if needed. The new UX for these checkpoints provides a straightforward way to visualize and navigate the different stages of your work, enhancing your overall productivity and organization.

The new version 3.4 of the client introduces several exciting features that significantly enhance its autonomous coding capabilities. The highlight is the introduction of the mCP Marketplace, which simplifies the discovery, installation, and configuration of mCP servers. This centralized hub allows users to easily access a wide range of AI-powered tools and seamlessly integrate them into their workflows.

Another notable feature is the support for mermaid diagrams, which enables users to visualize complex architectures, workflows, and system diagrams directly within the client's chat interface. This feature greatly improves the ability to understand and communicate the bigger picture of a project.

Additionally, the client now supports Alibaba Quin 2.5 coder, as well as the latest VL models and improved AWS Bedrock profile integrations, providing more flexibility in choosing the right AI model for various tasks.

The advanced settings have also been expanded, allowing users to fine-tune the context window, output settings, and browser tool behavior to tailor the tool to their specific needs.

Overall, the version 3.4 update of the client showcases its continued evolution and commitment to empowering users with cutting-edge autonomous coding capabilities. The new features and improvements make the client an even more powerful and versatile tool for developers, researchers, and anyone looking to streamline their coding workflows.