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Imagine a world in which a content services business user no longer needs to manually execute tasks such as authoring documents, updating metadata and access controls, applying legal holds and launching workflows. That world is now real. Getting work done which used to take hours can now be accomplished within minutes. Model Context Protocol Servers (MCP) and the AI Agents that use them have supercharged the power of Large Language Models to be grounded in the nuances of your business and processes - seamlessly interacting with systems that have been around for decades - while reasoning through dense taxonomies of folders, documents, and content that power everyday business. For many organizations, the potential of enterprise AI solutions stalls because models lack the ability to reason their way through more complex tasks. This is where the Core Content Services MCP Server - part of IBM’s expanding ecosystem of Model Context Protocol (MCP) Servers - serves as a “translator” between LLMs and the extensive capabilities of IBM FileNet Content Manager. This is a secure, standardized interface that enables AI to read, write, search, and manage the information that enterprises depend upon - without compromising governance or control.
Content services platforms are centered around security and compliance, while AI is centered around adaptability and speed. The Core Content Services MCP Server integrates these aspects to allow AI models to interact with enterprise systems responsibly. This MCP Server preview provides a glimpse into a pattern of work where AI agents assist and automate tasks and extract key information from vast, previously-opaque content repositories.
The Core Content Services MCP Server Prototype connects AI models to FileNet Content Manager’s robust content management layer to unlock a wide range of document and metadata operations. With this interface, AI can:
Manage documents end-to-end from creation and updates to check-in, check-out, and version control
Search for specific documents, folders, or metadata
Classify content by identifying and suggesting document classes and their properties
Extract text and retrieve annotations
Each of these capabilities is exposed through discrete tools that range from “Create Document” and “Update Folder” to “Repository Object Search” and “Get Document Annotations.” While these tools represent specific actions, together they transform FileNet into an AI-powered foundation for your enterprise.
In financial services, AI agents can assemble complex loan packages by searching for prior submissions, verifying policy and compliance documents, and checking in updated versions automatically. Underwriters can focus on evaluation and risk while AI manages the work that used to slow the process down.
In healthcare, with the Core Content Services MCP Server, you can locate and summarize care documentation, reconcile records across departments, and ensure access controls on sensitive patient materials.
In the public sector, AI agents can retrieve forms and prepare case summaries with precision - providing much-needed modernization without dismantling the systems that hold decades of critical data.
In the legal and compliance realm, AI Agents can search repositories, classify complex documents, apply legal holds, and help ensure that the most up-to-date information is being used during reviews.
This is just the beginning of how MCP Servers - and this preview specifically - can amplify human expertise by giving AI the ability to handle content operations securely, consistently, and at scale.
You can now experiment with the Core Content Services MCP Server Preview. Connect it to your environment and see firsthand how AI can revolutionize how you work with your content.
We want to hear from you! Help shape our Agentic AI roadmap and provide feedback by completing our survey and registering to participate in the preview.
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