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Devart Mcp Server Dynamics365

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Self-hosted MCP server for secure AI access to Microsoft Dynamics 365.

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Self-hosted MCP server for secure AI access to Microsoft Dynamics 365.

README

Devart MCP Server for Dynamics 365

Devart MCP Server for Dynamics 365

Devart MCP Server for Dynamics 365 enables AI clients to interact with your data through a secure server running in your environment. It turns a regular AI chat into a practical way to work with real-world business data — and it is faster than conventional export or manual querying.

Key benefits

Devart MCP Server for Dynamics 365 allows you to:

  • Work with data intuitively through natural language.
  • Retrieve the required data for analysis within minutes.
  • Report on your data faster with AI-powered assistance.
  • Minimize manual data handling and integration maintenance.

How it works

Devart MCP Server for Dynamics 365 helps AI clients communicate directly with Dynamics 365 databases using natural-language prompts. It translates AI requests into structured queries, executes them through Devart connectivity drivers, and returns clean, structured results for seamless AI-powered data access.

Devart MCP Server architecture

Quick start

To get started with Devart MCP Server for Dynamics 365:

1. Download and install Devart ODBC Driver for Dynamics 365.

2. Download and install Devart MCP Server for Dynamics 365.

3. In Devart MCP Server for Dynamics 365, configure your data connection and integration settings.

Devart MCP Server configuration

4. Run your first natural-language query.

Need an MCP Server for multiple data sources?

Manual installation and configuration

Prerequisites

Before building and running Devart MCP Server for Dynamics 365, ensure the following components are installed:

  • .NET 8 SDK
  • ADO.NET connectionDevart.AI.McpServer.AdoNet.Dynamics365.csproj Devart dotConnect for Dynamics 365 (installed automatically via NuGet during build)
  • ODBC connectionDevart.AI.McpServer.Odbc.Dynamics365.csproj Devart ODBC Driver for Dynamics 365 (requires manual download and installation)

Step 1: Clone the repository

Clone the project repository and navigate to the project directory:

1. Open Command Prompt.

2. Enter the following command:

git clone https://github.com/devart-ai-connectivity/devart-mcp-server-dynamics365.git
cd devart-mcp-server-dynamics365

Step 2: Build the MCP Server from source

You can build Devart MCP Server for Dynamics 365 from source using either of the supported database connectivity technologies: ADO.NET or ODBC.

  • To build the MCP server with ADO.NET, run the following command:
dotnet publish Devart.AI.McpServer.AdoNet/Devart.AI.McpServer.AdoNet.Dynamics365/Devart.AI.McpServer.AdoNet.Dynamics365.csproj -c ReleaseDynamics365 /p:TargetFramework=net8.0

The Devart dotConnect for Dynamics 365 NuGet package is downloaded and restored automatically.

  • To build the MCP server with ODBC, select the command based on the bitness of your data source.

For 64-bit data source, run the following command:

dotnet publish Devart.AI.McpServer.Odbc/Devart.AI.McpServer.Odbc.Dynamics365/Devart.AI.McpServer.Odbc.Dynamics365.csproj -c ReleaseDynamics365 -r "win-x64" /p:TargetFramework=net8.0

For 32-bit data source, run the following command:

dotnet publish Devart.AI.McpServer.Odbc/Devart.AI.McpServer.Odbc.Dynamics365/Devart.AI.McpServer.Odbc.Dynamics365.csproj -c ReleaseDynamics365 -r "win-x86" /p:TargetFramework=net8.0

Note

The target platform must match the bitness of your ODBC data source.

Step 3: Configure the database connection for the MCP Server

1. Create an mcpserver.json configuration file in the directory containing the built MCP Server executable.

2. In the file, configure the database connection.

  • Configure a connection with ADO.NET.

Add the following configuration to the mcpserver.json file:

{
  "Connections": [
    {
      "Name": "my_dynamics365",
      "ConnectionString": "Server=localhost;User Id=dynamics;Password=your_password;Database=your_database;",
      "ProtocolType": "stdio"
    }
  ]
}
  • Configure a connection with ODBC.

Add the following configuration to the mcpserver.json file:

{
  "Connections": [
    {
      "Name": "my_dynamics365",
      "DsnName": "your_dsn_name",
      "ProtocolType": "stdio"
    }
  ]
}
  • Configure a connection with ODBC using a connection string.

Add the following configuration to the mcpserver.json file:

{
  "Connections": [
    {
      "Name": "my_dynamics365",
      "ConnectionString": "Driver={Devart ODBC Driver for Dynamics 365};Server=localhost;User ID=dynamics;Password=your_password;Database=your_database;",
      "ProtocolType": "stdio"
    }
  ]
}

where:

  • Name — The connection name.

  • ConnectionString (applies to ADO.NET) — A database-specific connection string used to establish a connection to the target database.

  • DsnName (applies to ODBC) — The name of your data source.

  • ProtocolType — A transport protocol. The possible options are: stdio or http.

  • HttpPort (required if ProtocolType is set to http) — The port number for the http protocol.

Step 4: Run the MCP server

After you configure the MCP Server, you can start it.

Note

This step is required only when ProtocolType is configured as http. If you use the stdio transport protocol, your AI client starts the server automatically.

  • To start the server with ADO.NET, run the following command:
Devart.AI.McpServer.AdoNet.Dynamics365.exe run my_dynamics365
  • To start the server with ODBC, run the following command:
Devart.AI.McpServer.Odbc.Dynamics365.exe run my_dynamics365

where my_dynamics365 is the name of the ODBC connection.

Step 5: Integrate with Claude Desktop

1. Open claude_desktop_config.json, the Claude configuration file.

Tip

If you can't locate the configuration file, it may not exist yet. To create it, open Claude Desktop and navigate to File > Settings > Developer, then click Edit Config. The folder with the claude_desktop_config.json file opens.

2. Add one of the following objects, depending on the transport protocol used by MCP Server:

  • STDIO
{
  "mcpServers": {
    "devart": {
      "command": "C:\\path\\to\\Devart.AI.McpServer.AdoNet.Dynamics365.exe",
      "args": [
        "run",
        "my_dynamics365"
      ]
    }
  }
}

where:

  • devart is the connector name that will appear in Claude Desktop.

  • C:\\path\\to\\Devart.AI.McpServer.AdoNet.Dynamics365.exe is the path to the executable file. For an ODBC connection, use Devart.AI.McpServer.Odbc.Dynamics365.exe.

  • my_dynamics365 is the connection name specified in the mcpserver.json configuration file.

  • HTTP

      "mcpServers": {
        "devart": {
          "command": "npx",
          "args": [
            "-y",
            "mcp-remote",
            "http://localhost:5000/sse"
          ]
        }
      }
    

    where:

    • devart is the connector name that will appear in Claude Desktop.
    • 5000 is the MCP Server listening port.

3. Save the file.

4. Restart Claude Desktop.

Devart MCP Server for Dynamics 365 is now integrated with Claude, and devart appears in the Claude Desktop app in Customize > Connectors.

You can also integrate Devart MCP Server for Dynamics 365 with other AI clients such as Cline, Codex, Cursor, Visual Studio Code, Windsurf, Zed.

Supported clients

Devart MCP Server for Dynamics 365 supports integration with the following AI clients:

  • Claude Desktop
  • Visual Studio Code
  • Cursor
  • Codex
  • Windsurf
  • Cline
  • Zed
  • ...and other MCP-compatible AI clients

Typical use cases

Devart MCP Server for Dynamics 365 is a practical fit for teams working with Dynamics 365 as their primary data source.

  • Sales pipeline analysis and forecasting
    Let sales managers and reps query opportunity stages, deal values, close probabilities, and pipeline health directly from Dynamics 365 in natural language.

  • Customer and account intelligence
    Access full account histories, contact interactions, and relationship timelines stored in Dynamics 365 to support account management and customer research.

  • Service queue and case management analytics
    Analyze open cases, resolution times, agent workloads, and SLA compliance across Dynamics 365 customer service data.

  • Marketing campaign performance
    Query lead sources, campaign responses, and conversion data from Dynamics 365 marketing entities to evaluate campaign effectiveness.

  • Activity and interaction history
    Retrieve email logs, call records, meeting notes, and task histories attached to Dynamics 365 records to support relationship management workflows.

  • Revenue and quota reporting
    Generate revenue summaries, quota attainment reports, and win/loss analyses from Dynamics 365 opportunity and order data on demand.

Licensing and activation

Devart MCP Server for Dynamics 365 is distributed as a free single-source MCP server.

To connect to Dynamics 365, the server requires the corresponding Devart ODBC Driver for Dynamics 365, which is a paid product.

A 30-day free trial is available for the Devart ODBC Driver for Dynamics 365.

See the product page and documentation for the latest installation and activation details.

Support

Other Devart connectivity solutions

from github.com/devart-ai-connectivity/devart-mcp-server-dynamics365

Installing Devart Mcp Server Dynamics365

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/devart-ai-connectivity/devart-mcp-server-dynamics365

FAQ

Is Devart Mcp Server Dynamics365 MCP free?

Yes, Devart Mcp Server Dynamics365 MCP is free — one-click install via Unyly at no cost.

Does Devart Mcp Server Dynamics365 need an API key?

No, Devart Mcp Server Dynamics365 runs without API keys or environment variables.

Is Devart Mcp Server Dynamics365 hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Devart Mcp Server Dynamics365 in Claude Desktop, Claude Code or Cursor?

Open Devart Mcp Server Dynamics365 on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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