Key Takeaways: StackAdapt’s MCP Server integrates campaign intelligence directly into AI tools, providing real-time performance insights and optimization capabilities. The server enables conversational access to campaign data, eliminating the need for manual reporting and fragmented workflows. On April 21, StackAdapt announced the general release of its Model Context Protocol (MCP) Server, an integration that makes campaign intelligence accessible within AI tools such as Claude. The MCP Server expands the functionality of Ivy, StackAdapt’s AI marketing assistant, beyond its platform, allowing advertisers to monitor campaign performance, audit creatives, and analyze data in real time without logging into the platform. By linking StackAdapt with AI tools already in use—including large language models, agents, and workflow automation systems—the integration offers conversational access to campaign intelligence, replacing spreadsheets, manual reporting, and disjointed workflows with a simple prompt. Explaining the StackAdapt Integration Created for both business leaders and technical users, the MCP Server provides decision-makers in B2B marketing and strategy with direct visibility into campaign performance and enables teams to integrate this data into internal systems, dashboards, and custom AI workflows. “AI is transforming how teams work, yet most platforms still require users to operate within their own environments, ” said Yang Han, Co-founder and CTO of StackAdapt. “The MCP Server delivers StackAdapt’s intelligence into the AI workflows where decisions happen, granting customers real-time, direct access to campaign data without added complexity. ” How the MCP Server Benefits Marketers The server can be set up in minutes with no need for engineering resources, API integrations, or extra costs. Once connected, users can pose natural language questions about their campaigns and quickly receive performance insights, including pacing, audience-level results, and creative status. At launch, the MCP Server offers access to campaign configuration, performance metrics, and creative assets across all supported channels, such as connected TV (CTV), display, native, audio, digital out-of-home (DOOH), and programmatic linear TV. Beyond conversational queries, the MCP Server establishes a foundation for more advanced, agent-assisted workflows.

AI systems can continuously monitor campaign performance, surface insights, and trigger automated actions based on user-defined guardrails across teams and tools. By providing real-time programmatic intelligence, StackAdapt enables advertisers to complement manual analysis with continuous, AI-driven optimization. While many platforms embed AI within their own environments, StackAdapt makes its intelligence accessible throughout the broader AI ecosystem, said Han. Designed for the open web, the MCP Server covers all channels and supply sources without binding advertisers to a single platform or inventory provider, delivering domain-specific programmatic intelligence directly into AI workflows instead of relying on generalized outputs.