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Devart Mcp Server Zoho Desk

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Self-hosted MCP server for secure AI access to Zoho Desk helpdesk data.

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Описание

Self-hosted MCP server for secure AI access to Zoho Desk helpdesk data.

README

Devart MCP Server for Zoho Desk

Version 1.1.0

What's new · Changelog

Devart MCP Server for Zoho Desk

Devart MCP Server for Zoho Desk 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 Zoho Desk 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 Zoho Desk helps AI clients communicate directly with Zoho Desk 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 Zoho Desk:

1. Download and install Devart ODBC Driver for Zoho Desk.

2. Download and install Devart MCP Server for Zoho Desk.

3. In Devart MCP Server for Zoho Desk, 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 Zoho Desk, ensure the following components are installed:

  • .NET 8 SDK
  • ADO.NET connectionDevart.AI.McpServer.AdoNet.ZohoDesk.csproj Devart dotConnect for Zoho Desk (installed automatically via NuGet during build)
  • ODBC connectionDevart.AI.McpServer.Odbc.ZohoDesk.csproj Devart ODBC Driver for Zoho Desk (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-zoho-desk.git
cd devart-mcp-server-zoho-desk

Step 2: Build the MCP Server from source

You can build Devart MCP Server for Zoho Desk 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.ZohoDesk/Devart.AI.McpServer.AdoNet.ZohoDesk.csproj -c ReleaseZohoDesk /p:TargetFramework=net8.0

The Devart dotConnect for Zoho Desk 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.ZohoDesk/Devart.AI.McpServer.Odbc.ZohoDesk.csproj -c ReleaseZohoDesk -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.ZohoDesk/Devart.AI.McpServer.Odbc.ZohoDesk.csproj -c ReleaseZohoDesk -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_zohodesk",
      "ConnectionString": "Authentication Type=OAuthInteractive;DataCenter=US;OrganizationId=your_organization_id;License Key=your_license_key;",
      "ProtocolType": "stdio"
    }
  ]
}
  • Configure a connection with ODBC.

Add the following configuration to the mcpserver.json file:

{
  "Connections": [
    {
      "Name": "my_zohodesk",
      "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_zohodesk",
      "ConnectionString": "Driver={Devart ODBC Driver for Zoho Desk};Server=localhost;User ID=zohodesk;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.ZohoDesk.exe run my_zohodesk
  • To start the server with ODBC, run the following command:
Devart.AI.McpServer.Odbc.ZohoDesk.exe run my_zohodesk

where my_zohodesk 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.ZohoDesk.exe",
      "args": [
        "run",
        "my_zohodesk"
      ]
    }
  }
}

where:

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

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

  • my_zohodesk 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 Zoho Desk is now integrated with Claude, and devart appears in the Claude Desktop app in Customize > Connectors.

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

Supported clients

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

  • Ticket volume and queue analysis
    Query open ticket counts, inbound volumes by channel, queue depths, and ticket age distributions from Zoho Desk in natural language.

  • Agent productivity and workload monitoring
    Analyze ticket assignments, resolution counts, handle times, and workload balance across support agents in Zoho Desk.

  • SLA compliance and breach analysis
    Monitor SLA adherence, identify breach patterns, and analyze first response and resolution time performance from Zoho Desk data.

  • Customer satisfaction and CSAT trends
    Query CSAT scores, feedback comments, satisfaction trends by department, and low-rating patterns from Zoho Desk survey data.

  • Escalation and priority analysis
    Investigate escalation rates, ticket priority distributions, and re-open patterns to identify service quality issues in Zoho Desk.

  • Knowledge base and self-service analytics
    Analyze article views, search queries, and deflection rates from Zoho Desk knowledge base data to improve self-service content.

Licensing and activation

Devart MCP Server for Zoho Desk is distributed as a free single-source MCP server.

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

A 30-day free trial is available for the Devart ODBC Driver for Zoho Desk.

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-zoho-desk

Установка Devart Mcp Server Zoho Desk

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/devart-ai-connectivity/devart-mcp-server-zoho-desk

FAQ

Devart Mcp Server Zoho Desk MCP бесплатный?

Да, Devart Mcp Server Zoho Desk MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Devart Mcp Server Zoho Desk?

Нет, Devart Mcp Server Zoho Desk работает без API-ключей и переменных окружения.

Devart Mcp Server Zoho Desk — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Devart Mcp Server Zoho Desk в Claude Desktop, Claude Code или Cursor?

Открой Devart Mcp Server Zoho Desk на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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