en.Wedoany.com Reported - Predactiv has announced the launch of a new Model Context Protocol (MCP) server and platform API, enabling the audience intelligence and data capabilities of The Predactiv Data Platform to be directly accessible within generative AI tools and embeddable into partner platforms and applications, without the need for heavy custom integration work.
MCP is an open standard widely regarded as a universal plugin for AI tools. By implementing MCP once, a platform allows any tool compatible with the standard—including ChatGPT, Claude, Cursor, and Manus—to securely connect without building custom integrations for each AI assistant. Based on this standard, The Predactiv Data Platform now enables teams to build, plan, and activate audiences using natural language through the AI tools they already use, or to integrate the same capabilities into their own systems via the platform API. Because the standard is open, there are no barriers or lock-in; new tools can connect as soon as they adopt MCP, requiring no additional engineering work.
For marketing and data teams, this update means a single automated workflow from asking a question to activating an audience, eliminating the need to manually stitch steps across different tools. Agencies, platforms, and data-driven enterprises can embed the platform into their own products without building custom infrastructure. The new access methods do not compromise control; every request passes through the same governance, privacy, and compliance controls, respecting feature flags and organization-level permissions. Teams can activate to any destination under the guardrails they already trust.
Michael Gorman, Chief Product Officer at Predactiv, stated that AI is rapidly becoming the operational layer for marketing and data teams. Instead of building another walled garden, the company is exposing audience and data capabilities on open standards so that agents and partner platforms can build directly on top. This marks a new step for Predactiv as an open infrastructure layer that transforms data into intelligence and actionable products.
The MCP server and platform API serve different needs. The MCP server brings Predactiv into the AI tools teams already use via natural language, while the platform API allows developers to build the same capabilities into their own applications. Through either path, teams can: build and preview audiences based on natural language briefs and obtain real-time scale estimates before activation; access and manage first-party datasets to prepare for modeling and audience creation; deliver audiences to destinations they already use, such as DSPs, SSPs, data clean rooms, or identity partners; and embed Predactiv's audience and data capabilities directly into their own platforms or workflows.
Once connected, AI tools can perform more complex tasks. An analyst can pull insights from two audience segments, ask which is clearer and why, convert the answer into an executive-ready summary, and then incorporate public web research to expand that segment—all within the same session. Through the API, these capabilities become building blocks that teams can embed into their own products. An agency or platform can place Predactiv-driven audience building, modeling, and activation directly into their own environment and automate repetitive tasks (e.g., refreshing and redelivering audiences on a set schedule) without manual steps.
Dana Hayes Jr., CEO of Predactiv, noted that marketing and data teams are already using AI tools to analyze audiences, summarize findings, and decide next steps, with the friction point always being data handoffs. By making The Predactiv Data Platform available within these AI tools, teams can bridge that gap, building, estimating, and activating audiences without leaving the conversation. The platform is open by design, letting customers decide how Predactiv fits into their tech stack, rather than the other way around.
The MCP server and platform API are now officially live in production, featuring secure authentication and standards-based integration. Organizations interested in operating the platform via AI tools or embedding it into their own applications should contact the Predactiv team to get started. Predactiv also offers custom managed hosting support to provide hands-on integration assistance and welcomes early partners interested in co-developing new applications on the platform.
Predactiv is a data and technology company focused on transforming data assets through a proprietary AI-driven platform. The Predactiv Data Platform offers real-time consumer insights, analytics, audience creation, and activation, powered by a proprietary real-time global digital behavior dataset. Predactiv collects and analyzes massive amounts of online data to help businesses understand consumer intent and optimize marketing strategies. The platform originates from the success of ShareThis, a leading data and programmatic advertising provider recognized for pioneering the use of AI in audience and insight creation, now a Predactiv company. Predactiv and its subsidiary ShareThis are headquartered in Palo Alto, California.
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