Model Context Protocol (MCP) Server for Dynamics NAV and D365 Business Central On-Prem SQL Databases.

With our MCP Server, you can now bring natural language (LLM) capabilities to Dynamics NAV and Business Central On-Prem.

Our MCP server provides powerful and 100% secure tools to access real time Dynamics NAV/Business Central data by LLMs.

What is MCP Server for Dynamics NAV/BC On-Prem?

The MCP server in the context of Dynamics NAV / Business Central refers to the Model Context Protocol (MCP) — a standardized API layer designed to connect AI agents (like Copilot, Azure OpenAI, or other LLM-based tools) with Business Central or NAV database.

Works with any LLM

Our MCP server for Dynamics NAV and Business Central On-Prem allows you to ask questions in plain language (via any LLM) and executes optimized SQL queries on your NAV/BC data returning answers fast and in a human-readable format

How it Works

The MCP server acts as a bridge between Business Central and AI agents, enabling:

Discovery of entities (e.g., Customers, Items, Sales Orders)
Contextual understanding of data structures
Execution of operations like querying, creating, updating, or deleting records
Natural language interaction with ERP data via LLMs

It exposes Business Central tables and operations through a self-describing, plug-and-play API, making it easier for intelligent agents to:

Understand what data is available
Know how to filter or join it
Generate SQL or AL queries based on user intent

The MCP server acts as a bridge between Business Central and AI agents, enabling:

Discovery of entities (e.g., Customers, Items, Sales Orders)
Contextual understanding of data structures
Execution of operations like querying, creating, updating, or deleting records
Natural language interaction with ERP data via LLMs

It exposes Business Central tables and operations through a self-describing, plug-and-play API, making it easier for intelligent agents to:

Understand what data is available
Know how to filter or join it
Generate SQL or AL queries based on user intent

Capabilities

Entity schema access: Retrieve metadata about tables and fields
Filtering and pagination: Query data efficiently
CRUD operations: Create, read, update, delete records
Contextual prompts: Enable LLMs to generate accurate queries
MCP Compliant: Integration with Copilot Studio, Azure OpenAI or any other MCP compliant tool.

Entity schema access: Retrieve metadata about tables and fields
Filtering and pagination: Query data efficiently
CRUD operations: Create, read, update, delete records
Contextual prompts: Enable LLMs to generate accurate queries
MCP Compliant: Integration with Copilot Studio, Azure OpenAI or any other MCP compliant tool.

Example Use Cases

Use it with LLM of your choice and ask questions like……….

Show customers with overdue invoices > ·5,000 and their account managers.
Top 10 items by sales in Q3 vs Q2 with percentage growth.
List vendors with pending POs, expected delivery dates, and average delays.
Find customers at credit limit, last contact date, and open orders.

Use it with LLM of your choice and ask questions like……….

Show customers with overdue invoices > ·5,000 and their account managers.
Top 10 items by sales in Q3 vs Q2 with percentage growth.
List vendors with pending POs, expected delivery dates, and average delays.
Find customers at credit limit, last contact date, and open orders.

Key Features

Real-time data from NAV/BC databases.
LLM Compatibility · Works with any AI model (cloud or on-prem).
Knowledge Base Integration · NAV/BC-aware templates, object maps, and best practices
Multi-Instance & Scalable · Designed for complex on-prem environments.
Aligns with SQL and NAV/BC permissions.
Observability · Optional logging and performance metrics for query optimization.

Real-time data from NAV/BC databases.
LLM Compatibility · Works with any AI model (cloud or on-prem).
Knowledge Base Integration · NAV/BC-aware templates, object maps, and best practices
Multi-Instance & Scalable · Designed for complex on-prem environments.
Aligns with SQL and NAV/BC permissions.
Observability · Optional logging and performance metrics for query optimization.

Compatible Versions

Built for all Dynamics NAV and Business Central On-Prem versions from NAV 2009 onward.

Dynamics NAV 2009
Dynamics NAV 2013
Dynamics NAV 2015
Dynamics NAV 2016
Dynamics NAV 2017
Dynamics NAV 2018
Business Central On-Prem All Versions

Dynamics NAV 2009
Dynamics NAV 2013
Dynamics NAV 2015
Dynamics NAV 2016
Dynamics NAV 2017
Dynamics NAV 2018
Business Central On-Prem All Versions

Compatible Versions

Built for all Dynamics NAV and Business Central On-Prem versions from NAV 2009 onward.

Dynamics NAV 2009
Dynamics NAV 2013
Dynamics NAV 2015
Dynamics NAV 2016
Dynamics NAV 2017
Dynamics NAV 2018
Business Central On-Prem All Versions

Compatible Versions

Built for all Dynamics NAV and Business Central On-Prem versions from NAV 2009 onward.

Dynamics NAV 2009
Dynamics NAV 2013
Dynamics NAV 2015
Dynamics NAV 2016
Dynamics NAV 2017
Dynamics NAV 2018
Business Central On-Prem All Versions

FAQs

Does this work without moving data to the cloud?

Yes. MCP Server runs in your environment and connects to your on-prem SQL database.

Which LLMs are supported?

Any LLM·ChatGPT, Claude, Mistral, LLaMA/local models·as long as it can call MCP Server endpoints.

Is this safe for production?

Yes. You control permissions, roles, and logging. Queries run with least privilege.

What about legacy NAV object names and schemas?

Our knowledge base understands NAV/BC structures, with templates and mappings for faster, safer queries.

Do you support multi-instance environments?

Yes. MCP Server is scalable and supports multiple companies/tenants.

Does this work without moving data to the cloud?

Yes. MCP Server runs in your environment and connects to your on-prem SQL database.

Which LLMs are supported?

Any LLM·ChatGPT, Claude, Mistral, LLaMA/local models·as long as it can call MCP Server endpoints.

Is this safe for production?

Yes. You control permissions, roles, and logging. Queries run with least privilege.

What about legacy NAV object names and schemas?

Our knowledge base understands NAV/BC structures, with templates and mappings for faster, safer queries.

Do you support multi-instance environments?

Yes. MCP Server is scalable and supports multiple companies/tenants.

Does this work without moving data to the cloud?

Yes. MCP Server runs in your environment and connects to your on-prem SQL database.

Which LLMs are supported?

Any LLM·ChatGPT, Claude, Mistral, LLaMA/local models·as long as it can call MCP Server endpoints.

Is this safe for production?

Yes. You control permissions, roles, and logging. Queries run with least privilege.

What about legacy NAV object names and schemas?

Our knowledge base understands NAV/BC structures, with templates and mappings for faster, safer queries.

Do you support multi-instance environments?

Yes. MCP Server is scalable and supports multiple companies/tenants.

Does this work without moving data to the cloud?

Yes. MCP Server runs in your environment and connects to your on-prem SQL database.

Which LLMs are supported?

Any LLM·ChatGPT, Claude, Mistral, LLaMA/local models·as long as it can call MCP Server endpoints.

Is this safe for production?

Yes. You control permissions, roles, and logging. Queries run with least privilege.

What about legacy NAV object names and schemas?

Our knowledge base understands NAV/BC structures, with templates and mappings for faster, safer queries.

Do you support multi-instance environments?

Yes. MCP Server is scalable and supports multiple companies/tenants.

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