Devart MCP Server UniversalDevart
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Related Products
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About
Devart MCP Server Universal is a self-hosted Windows application that connects AI tools to databases, cloud services, and other ODBC-accessible sources through the Model Context Protocol (MCP). It uses configured ODBC drivers and data source names to route natural-language requests, generate and execute structured queries, and return results to the AI client. A single server can provide access to multiple connected sources, including SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, HubSpot, Dynamics 365, NetSuite, QuickBooks Online, Snowflake, and Zoho services. It supports MCP-compatible clients such as Claude, Cursor, Visual Studio Code, Codex, Windsurf, Cline, and Zed. The server runs within an organization's own environment, giving developers, database administrators, data engineers, analysts, and operations teams a way to query internal business data through their preferred AI tools.
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About
Verdonz is a business intelligence and AI analytics platform for teams investigating performance and business data. It connects to warehouses, databases, query engines, monitoring systems, and knowledge sources, organizing metrics, entities, relationships, and access rules in a shared semantic model. Users ask natural-language questions, inspect metric definitions and SQL behind answers, and explore dashboards, reports, and alerts based on governed metrics. Configurable AI agents investigate connected data and knowledge on demand, on a schedule, or after alerts; external assistants access approved context through the read-only Model Context Protocol (MCP) server or API. Embedded analytics can expose saved queries in other applications. Verdonz is available as hosted SaaS, in a dedicated instance or customer cloud, and as self-hosted software for organizations that need infrastructure control.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers, DBAs, data engineers, and BI analysts at mid-market and enterprise companies.
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Audience
Data and operations teams, business analysts, and finance, sales, and customer success leaders who need to investigate performance, automate recurring analysis, and act on business data.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$99.95/user/month
Subscription starts at $99.95 per year. A perpetual license starts at $199.95. A free 30-day trial is available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$199/user/month
A limited free workspace uses sample data. Team starts at $199 per user per month. Enterprise plans are custom-priced.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com/mcp/universal/
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Company InformationVerdonz
Founded: 2026
United States
www.verdonz.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Cursor
Supported
Amazon Athena
Not Supported
Amazon Redshift
Not Supported
Claude Code
Not Supported
Claude Desktop
Supported
Cline
Supported
Codex CLI
Supported
Databricks
Not Supported
Elasticsearch
Not Supported
Google Cloud BigQuery
Not Supported
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Integrations
Cursor
Supported
Amazon Athena
Supported
Amazon Redshift
Supported
Claude Code
Supported
Claude Desktop
Not Supported
Cline
Not Supported
Codex CLI
Not Supported
Databricks
Supported
Elasticsearch
Supported
Google Cloud BigQuery
Supported
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