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Description

Devart MCP Server Universal is a Windows application that operates independently on a server, enabling the integration of AI tools with various databases, cloud services, and ODBC-compatible sources via the Model Context Protocol (MCP). By utilizing properly configured ODBC drivers and data source names, it efficiently channels natural-language inquiries, formulates and executes structured queries, and transmits the results back to the AI client. This versatile server can connect to numerous data sources, including SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, HubSpot, Dynamics 365, NetSuite, QuickBooks Online, Snowflake, and Zoho, ensuring robust access to diverse information. Moreover, it is compatible with various MCP-supporting clients such as Claude, Cursor, Visual Studio Code, Codex, Windsurf, Cline, and Zed, facilitating a seamless user experience. By operating within an organization’s infrastructure, it empowers developers, database administrators, data engineers, analysts, and operations teams to leverage their preferred AI tools for querying internal business data effectively. Ultimately, this solution enhances the accessibility and usability of business intelligence, making it easier for teams to derive insights from their data.

Description

FastMCP is a Python-based open-source framework designed to facilitate the development of Model Context Protocol (MCP) applications, simplifying the creation, management, and interaction with MCP servers while managing the complexities of the protocol so that developers can concentrate on their core business logic. The Model Context Protocol (MCP) serves as a standardized method for enabling large language models to connect securely with tools, data, and services, and FastMCP offers a streamlined API that allows for easy implementation of this protocol with minimal boilerplate code by utilizing Python decorators for registering tools, resources, and prompts. To set up a typical FastMCP server, one would instantiate a FastMCP object, use decorators to mark Python functions as tools (which can be invoked by the LLM), and then launch the server with various built-in transport options such as stdio or HTTP; this setup enables AI clients to interact with your code seamlessly as if it were integrated into the model’s context. Additionally, FastMCP’s design promotes efficient development practices, allowing teams to quickly iterate on their applications while maintaining high standards of code quality and performance.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Desktop Yes 
Cline Yes 
Codex CLI Yes 
Cursor Yes 
Markdown No 
Model Context Protocol (MCP) No 
Python No 
Visual Studio Code Yes 
Zed Yes 

Integrations

Claude Desktop No 
Cline No 
Codex CLI No 
Cursor No 
Markdown Yes 
Model Context Protocol (MCP) Yes 
Python Yes 
Visual Studio Code No 
Zed No 

Pricing Details

$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 Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Devart

Founded

1997

Country

Czech Republic

Website

www.devart.com/mcp/universal/

Vendor Details

Company Name

fastmcp

Founded

2025

Country

United States

Website

gofastmcp.com/getting-started/welcome

Product Features

Product Features

Alternatives

No Alternatives

Alternatives