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Stockpress, the Digital Asset Management (DAM) platform built for marketing, brand and creative teams, announced the launch of its Model Context Protocol (MCP) server on 28 October 2026. This new MCP connects Stockpress content libraries with AI tools, allowing teams to find, understand, and organise their assets simply by asking [1].

Key facts * Stockpress MCP allows compatible AI tools to access and interact with content organisations already manage in their workspace [1]. * The server connects Stockpress content with large language models (LLMs) such as ChatGPT and Claude [1]. * The solution uses the Model Context Protocol, which is an open standard for connecting AI applications with external systems [1]. * Stockpress MCP is available now for organisations to put their existing content to work [1].
What does Stockpress MCP do? Stockpress MCP opens up new ways for organisations to find, organise and put their existing content to work through the AI tools and LLMs they choose to use [1]. By using the Model Context Protocol, Stockpress allows compatible AI tools to interact with the images, videos, presentations, documents, and brand assets that organisations have already created [1].
How does it work for organisations? Stockpress MCP provides a way to work with existing content without requiring users to learn a new platform or move files into another system [1]. It enables AI tools to work with the content organisations already manage in their workspace [1]. Stockpress CRO Ian Parkes describes the functionality by stating, "Don't just find your content. Put it to work." [1].
Who can use it and when? Stockpress MCP is available now for organisations that use the Stockpress Digital Asset Management platform [1]. It is designed for marketing, brand and creative teams who need to make their valuable assets more accessible and useful within their AI-driven workflows [1].

Sources
- Stockpress Launches MCP, Connecting Content with People, Platforms and AI. — www.prnewswire.com (primary source)
Written with AI from the sources listed, checked against them before publishing.
