Business Central MCP Server

Overview

The Business Central MCP Server bridges the gap between Microsoft Dynamics 365 Business Central and AI assistants that communicate via the Model Context Protocol (MCP). By exposing every table, field, and record in a Business Central environment as MCP resources, the server lets conversational agents query, create, update, and delete data without needing custom connectors or direct API calls. This eliminates the friction developers face when wiring up AI tools to legacy ERP systems, enabling rapid prototyping and production‑ready integrations.

At its core, the server implements a suite of high‑level tools that map directly to Business Central’s OData endpoints. Tools such as and provide introspection and enumeration, while CRUD operations (, , ) allow the AI to manipulate data in real time. The API is intentionally lightweight: it forwards requests over plain HTTP, handles authentication via basic credentials, and returns JSON responses that MCP clients can consume immediately. This design keeps latency low and resource usage minimal, which is especially valuable in environments where multiple agents may be querying the same ERP instance concurrently.

Developers benefit from several standout features:

• Entity‑agnostic access: The server works with any Business Central table, provided the exact entity name is supplied. This means a single integration can support customers, sales orders, inventory items, and more without additional code.
• Optimized request handling: By delegating HTTP traffic directly to the Business Central API and avoiding unnecessary abstractions, the server reduces round‑trip time and improves throughput.
• Clear separation of concerns: Resources, tools, and environment configuration are neatly isolated, making the codebase easy to maintain and extend.
• Secure credential management: Environment variables (, , , ) keep sensitive data out of the code, aligning with best practices for production deployments.

Typical use cases include:

• Chat‑based ERP assistance: An AI assistant can answer questions about inventory levels, create purchase orders, or update customer information—all through natural language prompts that are translated into MCP tool calls.
• Automated workflow orchestration: AI agents can trigger business processes, such as invoicing or payment reconciliation, by invoking the appropriate CRUD tools in response to events or user requests.
• Data‑driven insights: By retrieving schemas and listings, developers can build dynamic dashboards or analytics layers that adapt to changes in the underlying Business Central data model without manual updates.

Integration with existing AI workflows is straightforward. Once configured in the client’s MCP configuration file, the server appears as a named endpoint (e.g., ). Clients can then reference its tools directly in prompts or custom instructions, allowing the AI to treat Business Central like any other data source. This seamless experience empowers developers to focus on business logic rather than plumbing, accelerating time‑to‑value for AI‑enhanced ERP solutions.