Devart MCP Server for Zoho Desk (ADO.NET)
LocalAbout Devart MCP Server for Zoho Desk (ADO.NET)
Devart MCP Server for Zoho Desk enables AI clients to query and work with service desk data in natural language, for teams using Zoho Desk. It uses Devart ADO.NET or ODBC connectivity to form structured queries and can run in the team's environment.
Key features
- 01Query service desk data in natural language
- 02Translate requests into structured queries
- 03Connect through ADO.NET or ODBC
- 04Support stdio and HTTP transports
Use cases
- 01Analyze ticket volumes and queues
- 02Monitor agent workload and productivity
- 03Review SLA adherence and breaches
- 04Analyze customer satisfaction trends
MCP support
This MCP server exposes Zoho Desk data access to AI clients, translating natural-language requests into queries and returning structured results. It supports stdio or HTTP transport.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEVersion 1.1.0
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.

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.

4. Run your first natural-language query.
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 connection — Devart.AI.McpServer.AdoNet.ZohoDesk.csproj Devart dotConnect for Zoho Desk (installed automatically via NuGet during build)
- ODBC connection — Devart.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:stdioorhttp. -
HttpPort(required ifProtocolTypeis set tohttp) — The port number for thehttpprotocol.
Step 4: Run the MCP server
After you configure the MCP Server, you can start it.
Note
This step is required only when
ProtocolTypeis configured ashttp. If you use thestdiotransport 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.jsonfile 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:
-
devartis the connector name that will appear in Claude Desktop. -
C:\\path\\to\\Devart.AI.McpServer.AdoNet.ZohoDesk.exeis the path to the executable file. For an ODBC connection, useDevart.AI.McpServer.Odbc.ZohoDesk.exe. -
my_zohodeskis the connection name specified in themcpserver.jsonconfiguration file. -
HTTP
"mcpServers": { "devart": { "command": "npx", "args": [ "-y", "mcp-remote", "http://localhost:5000/sse" ] } }where:
devartis the connector name that will appear in Claude Desktop.5000is 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
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.

