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Model Context Protocol (MCP)

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From APIs to AI: How MCP Changes the Way Systems Integrate with Business Central
09
Mar

From APIs to AI: How MCP Changes the Way Systems Integrate with Business Central 

The “Golden Rule” of systems integration has been simple: if you want to talk to Business Central (BC), you use an API. Whether it was OData, SOAP, or even the newer REST endpoints, developers write code to integrate between external systems and the ERP. And it worked. But it was rigid, expensive, and hard to maintain.  But now, we find ourselves at the precipice of an enormous change. With the advent of Generative AI and LLMs, it is no longer sufficient to simply expose an API. We need systems that can understand context, not just exchange data.  Enter The Model Context Protocol (MCP).  In this article, we’re going to explore how MCP is changing the game in terms of Business Central integration.  The Old Way: The “API Spaghetti” Problem  To understand why MCP is a gamechanger, we first need to understand the problems with the status quo.  The pain point here is that it’s a lot of work. Every time you want to do something new like posting a journal entry or checking the customer’s inventory, you have to do it all over again.   Enter MCP: The “USB Port” for AI  MCP can be thought of as a new “standard,” similar in concept to USB and Bluetooth, but for the data systems and AI.  Rather than requiring glue code for every single interaction between the AI and the data systems, the MCP provides a standardized and open-source protocol that allows the AI assistant to query the data systems securely.  In the context of Business Central, the MCP is a dynamic translation layer that allows the AI model to query your ERP in real-time, without requiring you to create a specific API handler.  How MCP Alters Business Central Integrations  So, what are the implications for the BC developer or consultant?  1. “From Hardcoded Endpoints to Dynamic Discovery”  With traditional APIs, the AI is only able to do what you program into it. But what if you have an MCP server connected into Business Central? The AI can now “discover” what’s available.  For example, if the MCP server exposes the Business Central “Customer” table, the AI can automatically determine how to query the No., Name, or Balance fields without you having to write code like get_customer_balance.  2. Context Aware Interactions  Standard APIs are stateless; they don’t have any knowledge of the conversation history.  MCP is built with the goal of being context aware.  Scenario: “Who owes us the most money?”  Traditional: The API may simply return a list of customers.  MCP: The AI can use the protocol to first query the Detailed Cust. Ledg. Entry table, compute the open balances in real-time, and then ask the user, “Do you want me to send a reminder email to the top 3 overdue accounts?” The integration is not just a simple retrieval; the API is participating in the process.  3. Secure, Governed Access  One of the biggest fears of integrating AI with ERP is security. You do not want a chat session with an AI to accidentally change your General Ledger setup.  MCP servers operate locally or in your infrastructure. This means you can use standard BC security permissions. If the user of the AI question being asked does not have permission to DELETE in the Sales Header table, the MCP server will simply not allow it. They bring their standard BC permission set into the AI conversation.  4. Eliminating “Connector Fatigue”  Today, to integrate a niche app into BC, we must develop a connector. With MCP, however, if a third-party app (such as a niche app for inventory scanning or a niche app for human resources) supports the MCP standard, it will instantly connect to your Business Central AI environment.  The Future is “Agentic”  MCP is not just integration; it’s “Agency.”  Business Central was once just a database, just waiting for the application code to tell it what to do. Now, with the protocol, Business Central is an active participant in the world of business intelligence. An AI agent can always monitor your data and only alert you, when necessary, like when the stock level of an item plummets or when the price of the item in a purchase order is wrong.  Conclusion  APIs aren’t going away anytime soon. Business Central will always need OData and REST for rigid system-to-system heavy lifting to integrate between external systems But for the new generation of intelligent automation: Co-pilots, agents, chatbots… the missing piece is the Model Context Protocol. It turns Business Central from a traditional ERP into a smart platform that any AI can talk to.  For developers and architects: the message is clear: Start thinking about context. The end of the era of static integration is near. The era of intelligent agentic integration is upon us. 
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Can Your ERP Think? Exploring AI Features Coming to Business Central
19
Jan

Can Your ERP Think? Exploring AI Features Coming to Business Central 

Imagine your ERP solution could do things beyond just storing information and handling mundane tasks. What if it could understand information, indicate the next step, create content, forecast results, and act upon your behalf? “With Microsoft Dynamics 365 Business Central, the future of AI isn’t something that will happen someday, it’s here today. And through the power of AI capabilities like Co-pilot and intelligent agents, Business Central is moving from being a reactive data solution to a full-fledged ERP system that can think, act, and help.” So, let’s dive in and look at AI capabilities in Business Central and what it may mean for you. AI Is Built In, Not Bolted on as compared to the traditional add-ons where the implementation and learning process is required, the AI capabilities in Business Central come as an in-built function and make perfectly well with the existing data in your system.  1. Co-pilot: Your AI Assistant Inside the ERP  Co-pilot is the integrated AI assistant in Business Central. This requires natural language understanding and generative AI to assist users in working smarter without requiring expertise in technology.  What Co-pilot Can Do:  Answer questions clearly, for example, “Show me overdue invoices.”  Explain reports and data trends instantly  Help with tasks such as bank reconciliation  Compose business content such as product descriptions  Summarize the records or findings in lay terms  This transforms your ERP system from a transactional system to an interactive system which is an advisor to you and makes it easy to do more without any specialist skills.  2. AI-Driven Data Analysis as Demand  AI capabilities in Business Central makes it possible to analyse data using natural language instead of filters and formulas.  “Show total sales by product category over the past quarter.”  receiving an immediate, structured response without having to prepare specific reports. These enable the following insights to become possible:  First, without requiring an analyst or a BI expert.  3. Intelligent Agents That Automate Work for You  Business Central is now offering AI agents, or artificial intelligence assistants that automatically watch data, make transactions, and alert you when necessary. For instance:  The Sale Order Agent can process customer emails, as well as understanding the information, to generate sales orders.  This makes mundane input tasks and processes like ordering faster, leaving more time for higher-value activities to be performed by human agents.  4. AI Forecasting & Predictive Insights  AI assists you in looking beyond the news of the past to the forefront of what decisions need to be made in the future. Some of the predictive capabilities being developed around Microsoft Business Central include:  Sales & Inventory Demand Forecasting: Prevents shortages & overstocking  Late Payment Prediction: Notifies you of possible delayed payments of invoices   Cash flow projections using AI technology: Predicts cash requirements and risks Automated Bank Reconciliation: Suggestions by AI and Identification of Discrepancies   They rely upon the past ERP data to forecast the future behaviour of the business instead of simply reacting to the business change that has occurred.  5. Content and Communications Generation  A very useful application of AI is in creating commercial content such as products descriptions, customer communication, and so on, which generally has to be done manually. Business Central can suggest or prepare:  This assists teams to work faster, more accurately, and with fewer mistakes.  6. Integration with Power Platform and Co-pilot Everywhere  Artificial intelligence does not remain within Business Central; it also reaches out into the overall Microsoft ecosystem.  Thanks to the integration with products such as Power Automate Copilot, the user can create automation workflows with natural language processing.  Example: “Create a workflow to automatically transmit purchase orders to suppliers when the stock level reaches the reorder point.” Copilot breaks it down, creates the automation, and activates it for you without writing code.  7. Future Enhancements on the Horizon  Even more advanced AI features are in preview or under development:  Model Context Protocol (MCP): This enables tailored AI agents to directly interface with Business Central’s data model with minimal setup.  Custom AI solutions: Developers can build enterprise-specific AI workflows tied into BC data.  This means your ERP’s AI will continue to get smarter, more customizable, and more powerful over time.  What This Means for Your Business  An AI-powered Business Central is not “a bit smarter”; it is a different paradigm for how businesses conduct themselves:  It is now urgent that the rear guard be replaced.  Or in other words? Your ERP no longer just records the past, but it helps in shaping the future.  Final Thoughts: Your ERP Is Learning to Think  Business Central is changing its features from traditional ERP to such systems that it:  Everything is powered by AI features right within the platform, not separate add-ons or external tools. The age of a thinking ERP is here, and Business Central is leading the way. 
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