Trey AI allows you to create and customize coding agents for specific tasks, providing a highly flexible and powerful coding environment. Here's how you can leverage this feature:

1. Create a New Agent: You can create a new agent by clicking on the "New Agent" button. This will allow you to customize the agent's behavior by providing a custom prompt and selecting the tools the agent has access to.

2. Configure the Agent's Tools: Trey AI offers a variety of tools that can be enabled for your custom agent, including web search, terminal, file system, and more. You can choose the specific tools your agent will have access to, tailoring it for your needs.

3. Integrate with MCPs: Trey AI supports the use of Micro-Cognitive Plugins (MCPs), which are pre-configured integrations with various APIs and services. You can easily add an MCP to your custom agent, such as the Tavi web search MCP, and provide the necessary API keys to enable its functionality.

4. Utilize the Agent for Specific Tasks: Once you've created and configured your custom agent, you can use it for specific coding tasks. For example, you can create a "Web Search" agent that has access to the Tavi MCP, allowing you to quickly search the web for relevant information within your coding environment.

5. Leverage the Agent's Capabilities: Your custom agents can leverage the powerful coding capabilities of Trey AI, including the ability to generate, execute, and debug code, as well as access various coding models like Gemini 2.5 Pro and Cloud 3.5 Sonnet.

By customizing your coding agents, you can streamline your workflow, improve productivity, and tackle specific coding challenges more efficiently within the Trey AI environment.

Trey AI's support for MCPs (Micro-Cognitive Plugins) is a game-changer, allowing you to customize your coding agents with specific tools and capabilities. These MCPs act as a registry of pre-configured integrations, making it easy to extend the functionality of your Trey AI workspace.

One example showcased is the integration of the Tavi MCP, which enables powerful web search capabilities within your custom agent. By simply providing the necessary configuration and API key, you can create a dedicated "web search" agent that has access to the Tavi API, allowing you to quickly look up information without leaving the Trey AI environment.

The ability to selectively enable MCPs for specific agents is a powerful feature. This allows you to tailor your coding environment to the task at hand, ensuring your agents have access to the right tools and resources. Whether you need web search, API integration, or any other specialized functionality, Trey AI's MCP system makes it easy to extend the capabilities of your coding assistant.

The clean and intuitive UI makes managing these MCPs a breeze. The documentation links provided for each MCP further simplify the integration process, allowing you to quickly understand the required configurations and get up and running without the need to switch between multiple applications.

Overall, Trey AI's MCP integration is a standout feature that sets it apart from other coding IDEs. By empowering users to customize their coding environment, Trey AI enables a level of productivity and efficiency that can greatly benefit developers working on a wide range of projects.

To build a text-to-image generator project using Trey AI, we will follow these steps:

1. Create a new chat and select the "Builder" agent, which is the default agent for coding tasks.
2. Choose the Gemini 2.5 Pro coding model, which has native image generation capabilities.
3. Provide the project requirements, including the need for a client-side web application that generates images based on user-provided text prompts using the Google Gemini API.
4. Implement the project based on the provided requirements, using the Trey AI's custom agents and MCPS (Model Capability Plugins) features.
5. Test the functionality, including image generation, regeneration, and downloading, and make any necessary adjustments to the code.
6. Utilize Trey AI's coding capabilities, such as code explanation and editing, to further refine the project.
7. Ensure privacy and security by reviewing Trey AI's data handling policies and practices.

Overall, Trey AI's features, such as custom agents and MCPS support, make it a powerful and flexible coding IDE for building projects like the text-to-image generator.

Trey AI is a powerful coding assistant that offers a wide range of features and capabilities. One of the key highlights is its support for various AI models, including the popular Cloud 3.5, Sonnet, and the latest Gemini 2.5 Pro. Users can also integrate custom models from providers like OpenAI, allowing for even more flexibility and customization.

The custom agent feature is particularly noteworthy, as it enables users to create and tailor agents for specific tasks. For example, you can create a "Web Search" agent that has access to tools like web search, terminal, and file system, making it ideal for research and information gathering tasks.

Trey AI's integration with MCPS (Modular Coding Plugins) further enhances its capabilities. By adding the Tavi MCP, which enables web search functionality, you can create a powerful agent that can quickly find relevant information and resources without leaving the IDE.

The platform's clean and intuitive UI makes it easy to navigate and use, with features like code previewing, file management, and terminal integration. The ability to edit code directly within the IDE and see the changes in real-time is a valuable asset for efficient coding workflows.

Overall, Trey AI's robust model support, customizable agents, and MCPS integration make it a compelling choice for developers looking for a feature-rich and versatile coding assistant.

Trey AI has directly addressed the concerns around privacy and security on their website. According to their statements:

• Local data storage: Codebase files are stored locally on your devices for indexing. Files may be temporarily uploaded for embedding after processing, but all plain text is deleted.

• Secure data access: Strict access control and encrypted transmissions are enforced to prevent unauthorized access and reduce exposure to security risks.

• Regional deployment: User data and infrastructure are deployed based on account location, stored in the US, Singapore, and Malaysia, with isolation in place to meet local data regulations.

Trey AI seems to have taken measures to ensure the privacy and security of user data, though users should still exercise caution and review the platform's policies before using it for sensitive projects.

Trey AI is a powerful and feature-rich coding IDE that offers a range of capabilities for developers. The recent upgrades to the platform, including the ability to customize coding agents and support for MCPS, make it a compelling option for those looking for a free and flexible coding environment.

The clean and intuitive UI, along with the integration of various coding models and the ability to use custom models, make Trey AI a versatile tool for a wide range of coding tasks. The project implementation example showcased in the video demonstrates the IDE's ability to handle complex requirements and generate functional code.

While the coding capabilities are dependent on the chosen model, the availability of options like Gemini 2.5 Pro and Cloud 3.5 Sonnet, as well as the support for the latest GPD 4.1, ensures that users have access to powerful coding tools.

The focus on privacy and security, as outlined on the Trey AI website, is also a reassuring aspect for those concerned about data protection. The local data storage, secure data access, and regional deployment options provide a level of assurance for users.

Overall, Trey AI appears to be a strong contender in the coding IDE landscape, offering a unique combination of features, flexibility, and a commitment to user privacy and security. It is worth exploring for developers looking for a free and feature-rich coding environment.