Explyt 4.1 with Python and MCP support is Out!

Explyt 4.1 introduces new powerful features for an even better coding, testing, and debugging experience.

Key improvements include:

• Python support: you can use assistant’s features in PyCharm
• MCP servers support
• Rules and Workflows features added for a more accurate and careful agent’s work

Overall improvements:

• enhanced stability of the agent and tools
• support for running and fixing tests for IntelliJ IDEA users on Windows under WSL
• better Gradle and Maven support: the agent now reuses your IDE build settings and suggests syncing when configurations change

Added LLM models:

• OpenAI GPT-5-mini
• OpenAI GPT-5

Python support

You can use assistant’s features in PyCharm.

Rules: how they improve your coding experience

The Rules feature allows you to ensure the Explyt Agent follows your instructions for specific contexts. A rule is a Markdown snippet that is added to the system prompt.

Well-defined rules can significantly improve your experience with the Explyt Agent

Tips to start:

• specify a scope for when the rule should be applied
• instruct the agent on the expected steps the agent should follow when completing your queries
• instruct the agent what it should not do (for example, editing forbidden files)
• define the desired output format (for example: plan, proposed edits, summary) to make results predictable
• ask agent

Workflows: save you time and tokens working with prompts

The Workflows feature allows you to save repeated prompts and manually use them when appropriate. A workflow is a simple Markdown file that you add to your prompt via the input area. This allows you to reuse effective pipelines and boost your productivity.

Tips to start:

• instruct the agent to ask you appropriate questions before moving to the implementation
• instruct the agent on how to gather context for the request
• specify the expected steps the agent should take
• you can attach files to your request and reference them in your workflow
• keep workflows reusable by using placeholders (for example: {goal}, {files}) and filling them when invoking

MCP servers

With MCP, developers don't need to build custom integrations for every single tool.

The protocol supports two-way communication: AI agents can not only request and receive data, but also perform actions in external applications or even directly in the operating system. In short, MCP provides a universal interface that makes it easier for LLMs to work with external tools and resources.

Explyt 4.1 supports test frameworks: JUnit 5, JUnit 4, TestNG, kotlin-test, mocking frameworks: Mockito, Mockito-Kotlin, MockK, SpringMockK, and build systems: Maven, Gradle, IntelliJ Build System.

You can access language models either through Explyt servers or by using your API-keys.

Explyt Enterprise with Virtual Private Cloud (VPC) or self-hosting solution guarantees corporate data security. Your company's code is not sent to the internet and is not used for model training.