Pacvue launches MCP Server to make commerce media data accessible across enterprise AI tools

Machine Learning


Pacvue logo

Report MCP, the first feature available through Pacvue’s MCP server, allows brands and agencies to pull advertising data from Amazon, Walmart, Instacart, and more directly from the AI ​​tools they already use.

Pacvue today announced the launch of MCP Server. It embraces new open standards that enable enterprise teams to seamlessly connect commerce media data with AI tools such as ChatGPT, Copilot, Gemini, and Claude. MCP (Model Context Protocol) is an open standard protocol originally developed by Anthropic that defines how AI models communicate with external tools and data sources. Launching MCP means that Pacvue’s existing platform is built to be MCP compatible, so AI agents can connect natively using this protocol.

Enterprise AI adoption is rapidly accelerating, and commerce media teams are increasingly using AI tools for analysis, reporting, and decision-making. But for many teams, the reporting tasks built into these workflows still require going to another platform, configuring reports, and manually exporting files. As enterprise AI stacks take shape, the expectations are straightforward. Data should be accessible wherever workflows occur.

The first feature available through Pacvue’s MCP server, Report MCP allows brands and agencies to pull Pacvue advertising reports directly from the AI ​​tools they already use through a simple plain language request.

Also read: AIThority interview with Rohit Agarwal, Founder and CEO of Portkey

“The way enterprise teams work is changing. AI tools are becoming the primary surface for analysis, decision-making and execution, which means they need to be able to access commerce media data wherever those teams already operate,” said Sunava Dutta, chief product officer at Pacvue. “Based on the Model Context Protocol, Pacvue’s MCP Server creates a secure way for AI assistants and enterprise workflows to interact with Commerce Media reporting data. Reporting MCP is a critical foundation in our broader roadmap to expand how AI is connected to Commerce Media intelligence and execution.”

Reporting MCP is built on Pacvue’s existing reporting infrastructure. This means that the report types, permissions, and data access that your team relies on today already exist, without having to build new reports or set up access individually. Connect to the full set of platforms available through Pacvue’s My Report engine, including Amazon, Walmart, Instacart, Kroger, Target, Sam’s Club, Chewy, DoorDash, eBay, Bol, Mercado Libre, Criteo, Citrus, and more, and new platforms and report fields are automatically selected when added to Pacvue. Teams request the data they need in plain language and receive the results as formatted reports delivered directly to the AI ​​tools they’re already working with. The result is rapid access to data that drives decision-making without having to switch platforms or rebuild workflows from scratch.

Pacvue’s MCP Server allows brands and agencies to:

  • Get exactly the data you need using simple plain language requests and receive formatted CSV or Excel files without manually configuring your reports.
  • We currently have access to data across more than a dozen retail media networks, and our coverage automatically expands as new platforms are added.
  • Get report types that power your daily work, including campaign performance, keywords and search terms, testimonial shares, inventory, and more, with results delivered directly to your favorite AI tools.
  • Connect from Claude, ChatGPT, Cursor, VS Code, or any MCP-compatible client with the option to build an internal agent integration using the same endpoint.

Report MCP is now generally available, and additional Pacvue MCP features are already in development.

The launch of Pacvue’s MCP capabilities reflects a broader commitment to open and connected commerce media infrastructure. As enterprise teams build more sophisticated AI workflows, Pacvue is focused on ensuring that commerce media data and execution capabilities are not only part of that ecosystem, but also accessible, trusted, and built at scale.

Also read: ​​AI-powered risk intelligence: How financial institutions are anticipating systemic shocks

[To share your insights with us, please write to psen@itechseries.com]



Source link