Apyesse can now function as an MCP server: what does this mean, specifically?
In recent months, there’s been increasing talk of system integration and “operational” artificial intelligence. With Apyesse, we’ve taken a step further: the platform can now also function as an MCP (Model Context Protocol) server.
But what does this really mean, even for those unfamiliar with MCP?
In simple terms:
- MCP is a standard that allows AI models to connect in a structured way to external systems.
- An MCP server exposes data and functionality so that an AI assistant can query, use, and reason about it.
With Apyesse as your MCP server:
- AI is no longer limited to “talking” about planning,
- but can directly access production data, capacity, orders and constraints,
- and transform them into operational responses, simulations and decision support.
In practice, this means moving from:
“AI explains how planning works”
to:
“AI works within planning.”
This is an important step towards a truly conversational, integrated, and action-oriented APS, where artificial intelligence becomes a true copilot for planners, production managers, and supply chain managers.
If you want to understand how Apyesse can become your point of integration between operational data and AI, you can start here.
