Viomba has announced the launch of Viomba MCP, introducing what the company describes as the first AI-era attention intelligence layer accessible through the Model Context Protocol (MCP). The new platform enables AI agents and MCP-compatible clients, including Claude, Cursor, VS Code, Manus, and ChatGPT, to access real-time human attention intelligence for media, creative, and advertising analysis.
The launch positions Viomba at the intersection of AI, media intelligence, and advertising technology as enterprises increasingly look to automate campaign optimization and creative decision-making using AI agents.
Viomba MCP is designed to provide AI agents with direct access to human attention intelligence for advertising and media optimization workflows. Through MCP integration, AI systems can evaluate creative performance, predict attention outcomes, and generate activation scripts tailored for DSP and SSP environments.
The company stated that the platform allows organizations to:
According to Viomba, the platform transforms attention measurement from a reporting metric into an actionable design and optimization layer for AI-driven workflows.
Viomba emphasized that its competitive advantage is built on more than a decade of real-world human attention data collection. The company’s neural networks are trained on billions of gaze fixation samples gathered from live media environments using Tobii infrared eye tracking technology.
Unlike webcam-based inference systems or simulated laboratory testing environments, Viomba stated that its data collection infrastructure captures real user attention behavior across multiple markets and live browsing conditions.
"Our strongest competitive moat has been the sheer difficulty of consistently collecting high quality real world gaze fixation data at scale, year after year on ad-on-placement level, while knowing any AI is only as intelligent as the data it trained with," said Markku Mäntymaa, Founder and CEO of Viomba, adding that the AI era now enables Viomba to deliver this intelligence to everyone.
The company added that its methodology aligns with the highest-tier hybrid framework outlined in the November 2025 IAB/MRC attention measurement guidelines.
Viomba’s neural networks analyze multiple media and contextual signals, including placement metadata, device characteristics, campaign cells, viewability metrics, and audiovisual content features to predict human attention outcomes across media channels.
The company stated that this approach enables AI agents to explain why specific creative elements, placements, and contextual factors influence attention performance.
By integrating creative analysis directly into the media intelligence workflow, Viomba aims to improve transparency between advertisers, publishers, and media buyers while optimizing attention-backed advertising placements.
According to the company, the platform closes the loop between creative development, attention measurement, and campaign outcome reporting — an area where traditional advertising measurement systems have remained limited.
Viomba MCP is available for free evaluation with 200 Attention Credits provided upon email registration. Users who register a Stripe card can access 500 credits, while validated system developers may receive up to 2000 credits.
The company also introduced paid packages starting at €39, targeting developers, AI system builders, media platforms, and advertising technology teams looking to integrate attention intelligence into AI-powered workflows.
With the rise of AI agents and automated media operations, Viomba’s launch reflects growing demand for real-time contextual intelligence that can support creative optimization, media planning, and advertising performance analysis at scale.
Viomba (viomba.com) is a Helsinki based human attention intelligence company founded in 2014. Its neural networks are trained on billions of empirical Tobii infrared eye tracking samples from live media environments. IAB/MRC highest methodology tier compatible. 100% tagless.