Analytics firm Viberate has launched a new tool that allows users to connect their Vibrate data into their preferred AI assistant in order to use the data-sifting power of AI models to do advanced analysis of its database using natural language – like analysing artists, A&R, lineup suggestion, and so on. The firm has created a dedicated “MCP server”, which is essentially a standardised way for AI systems to connect with external services.
This means that it should easily connect to whichever AI platform you use, and you can build the platforms data into however you use that platform for your work. The rationale, it seems, is that by hooking the data to large language models, large sets of metrics from different platforms can be combined in novel ways to get new insights. The vibe-coding possibilties, we imagine, are endless.
Viberate co-founder Vasja Veber believes that data providers will increasingly serve as information layers for AI systems. “We strongly believe that the entire business intelligence industry will sooner or later shift to becoming a data layer for AI agents to read and process,” Veber said. The launch marks Viberate’s move toward an AI-first product roadmap, and Veber also described the MCP server as the third major way to use Viberate, alongside the company’s analytics platform and API.
