Content isn’t just data—it’s the lifeblood of customer transactions, compliance, and operational efficiency. Platforms like Hyland, OpenText, IBM, Microsoft, ABBYY, Tungsten, and more all process mission-critical documents every second of every day.
But here’s the challenge: each of these platforms is powerful, yet siloed. When performance issues occur, queue’s stall, or process failures occur, IT teams are left scrambling to diagnose root causes across multiple systems. That’s where the Reveille MCP (Model Context Protocol) solution comes in.
What Is Reveille MCP?
Reveille MCP (Model Context Protocol) is the integration fabric that enables Reveille to call information directly from leading content and intelligent automation platforms. Instead of relying on infrastructure metrics (like CPU, memory, or disk capacity), Reveille MCP connects to the heart of these intelligent automation systems—surfacing application-level insight about service levels, process exceptions, performance, and transactions.
Think of MCP as the translator between Reveille and your enterprise content ecosystem. It standardizes how Reveille collects, contextualizes, and analyzes data from:
- Hyland – OnBase, Alfresco, RPA
- OpenText – Documentum Content Management, Information Archive, Content Management (Extended ECM), Capture
- IBM – FileNet, CMOD, Datacap
- ABBYY – FlexiCapture, FlexiCapture Cloud, Vantage
- Microsoft – SharePoint, SharePoint Online, SharePoint Embedded, Teams, Copilot
- Tungsten – Capture, Transformation, TotalAgility, RPA
- UiPath – RPA
MCP as a “USB-C Port” for AI Engines
Beyond enterprise content, MCP has a bigger story: it is part of a new, open-source protocol designed to make Large Language Models (LLMs) from OpenAI (ChatGPT), Anthropic (Claude), or Google (Gemini) more useful in enterprise environments. See more information on MCP here.
Just like USB-C standardizes how devices connect, MCP provides a standardized way for AI engines to securely plug into external data sources and tools—without endless custom coding. For developers and IT leaders, that means:
- Simplified AI integration – AI Agents can connect directly to Reveille via MCP, reducing custom API work for each content platform. As most enterprises have multiple content platforms, there is a need for a single view across the content ecosystem to feed AI Agents actions.
- Real-time access – AI Agents can gather live observability data (queue status, process health, service levels, etc.) from common suppliers such as Hyland, OpenText, IBM, and ABBYY.
- Trust & security – MCP was designed with user consent, data privacy, and enterprise security at its core.
This makes it possible to bring service level assurance data from Reveille into the AI Agents enterprises are already experimenting with, enabling more intelligent assistants for IT operations, compliance, and service delivery.
Why MCP Matters for Service Level Assurance
Traditional platform monitoring tools (such as Splunk, Datadog, Dynatrace) are useful tools for the infrastructure, database, and network layers. They tell you if a service or process is running, but are not focused on stuck invoice processing workflow or claims approval batch failures. Reveille provides the context to know if work is being processed by your intelligent automation systems
With Reveille MCP, you can prompt Claude or Copilot Studio with common inquiries such as:
- Tell me the status of my OpenText Content Management (Extended ECM system
- What is the status of our Hyland batch processing?
- Are there any problems with my ABBYY FlexiCapture processing this morning?
- Show me Reveille recovery actions for Datacap over the past week
All of these prompts generate real-time insights that go deep into your ECM, IDP, RPA, or collaboration applications.
The Bottom Line
Reveille MCP transforms siloed platform data into actionable insight for both humans and AI engines. By Reveille directly calling and contextualizing information from your content platforms, MCP delivers the transparency enterprises and service providers need to:
- Meet SLAs expectations
- Avoid costly downtime
- Optimize automation investments
- Extend observability into the AI tools teams are already adopting
In an era where content failures equal business failures, MCP isn’t just an integration protocol—it’s the standardized connection point that brings mission-critical content processes into the age of AI.
Want to see how MCP can power observability for your Hyland, OpenText, IBM, Tungsten, Microsoft, or ABBYY environments? Schedule a demo with Reveille.
