When MSP automation platform vendor Rewst launched its RoboRewsty intelligent assistant in 2024, it arrived as an important tool to help customers gain foundational capabilities for documenting workflows.
And now, in a major update, RoboRewsty is adding a broad range of new AI-powered capabilities that will help MSPs and their customers gain even more features, including workflows generated from natural language prompts, real-time assistance in using Jinja Co-Pilot, and automated log reviews and troubleshooting.Also new is Rewst’s Model Context Protocol (MCP) Server, which gives AI agents a secure, structured interface to interact with Rewst automations, and a new MCP Trigger, which enables AI tools to initiate Rewst workflows via a lightweight API. The new features were unveiled by Rewst at its recent annual FLOW conference. “This new release expands RoboRewsty’s role to support the entire automation lifecycle” and “is a direct response to how Rewst’s partners are evolving,” Aharon Chernin, founder and CEO of Rewst, told ChannelE2E. “As more MSPs embrace automation, they are looking for ways to scale – without adding complexity or headcount. These additions are designed to lower the barrier to entry for new users while giving advanced users powerful, AI-assisted capabilities to move faster. It is all about helping MSPs do more with less friction.”Both MSPs and customers asked for these new features, said Chernin. “Many partners told us they wanted to ‘just describe what they wanted’ and have the platform build it. Others needed help debugging workflows and quickly pinpointing issues. Our team took that input and developed AI capabilities that remove friction across the board – from workflow creation to real-time issue resolution and documentation support.”For MSPs and customers, the main gains from the new features are increased speed, accessibility, and scale, said Chernin. “MSPs can go from idea to automation faster, with less technical ramp-up. They can troubleshoot and refine workflows without relying on trial and error or constant documentation lookup. And by connecting AI agents directly to their automation library, they are unlocking new ways to scale services and reduce repetitive tasks across their teams.”In addition, with the new MCP Server, AI agents can now kick off workflows and resolve issues without human intervention, said Chernin, making MSPs more efficient, more proactive, and more scalable.
And now, in a major update, RoboRewsty is adding a broad range of new AI-powered capabilities that will help MSPs and their customers gain even more features, including workflows generated from natural language prompts, real-time assistance in using Jinja Co-Pilot, and automated log reviews and troubleshooting.Also new is Rewst’s Model Context Protocol (MCP) Server, which gives AI agents a secure, structured interface to interact with Rewst automations, and a new MCP Trigger, which enables AI tools to initiate Rewst workflows via a lightweight API. The new features were unveiled by Rewst at its recent annual FLOW conference. “This new release expands RoboRewsty’s role to support the entire automation lifecycle” and “is a direct response to how Rewst’s partners are evolving,” Aharon Chernin, founder and CEO of Rewst, told ChannelE2E. “As more MSPs embrace automation, they are looking for ways to scale – without adding complexity or headcount. These additions are designed to lower the barrier to entry for new users while giving advanced users powerful, AI-assisted capabilities to move faster. It is all about helping MSPs do more with less friction.”Both MSPs and customers asked for these new features, said Chernin. “Many partners told us they wanted to ‘just describe what they wanted’ and have the platform build it. Others needed help debugging workflows and quickly pinpointing issues. Our team took that input and developed AI capabilities that remove friction across the board – from workflow creation to real-time issue resolution and documentation support.”For MSPs and customers, the main gains from the new features are increased speed, accessibility, and scale, said Chernin. “MSPs can go from idea to automation faster, with less technical ramp-up. They can troubleshoot and refine workflows without relying on trial and error or constant documentation lookup. And by connecting AI agents directly to their automation library, they are unlocking new ways to scale services and reduce repetitive tasks across their teams.”In addition, with the new MCP Server, AI agents can now kick off workflows and resolve issues without human intervention, said Chernin, making MSPs more efficient, more proactive, and more scalable.




