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What is FastMCP?

FastMCP is an innovative open-source framework built in Python that streamlines the development of Model Context Protocol (MCP) applications by simplifying the processes of creating, managing, and interacting with MCP servers, thereby allowing developers to focus on their essential business logic without getting bogged down by the intricacies of the protocol. The Model Context Protocol (MCP) provides a standardized approach for securely connecting large language models to various tools, data, and services, and FastMCP enhances this experience with a user-friendly API that minimizes boilerplate code through the use of Python decorators designed for registering tools, resources, and prompts. To establish a standard FastMCP server, one simply creates a FastMCP object, applies decorators to designate Python functions as tools that can be called by the LLM, and then activates the server using various built-in transport methods like stdio or HTTP; this configuration allows AI clients to interact with the code as though it were part of the model’s context. Furthermore, the architecture of FastMCP encourages efficient development practices, enabling teams to rapidly iterate on their projects while upholding superior standards of code quality and performance. This efficiency not only accelerates the development cycle but also enhances collaboration among team members, ensuring that everyone can contribute effectively to the project's advancement.

What is Devart MCP Server Universal?

Devart MCP Server Universal is a standalone Windows application designed to function on a server, allowing for the integration of AI tools with a variety of databases, cloud services, and ODBC-compliant sources through the Model Context Protocol (MCP). By employing correctly set up ODBC drivers and data source names, it skillfully processes natural-language queries, generates and executes structured SQL statements, and relays the results back to the AI client. This adaptable server has the capability to connect with multiple data sources, such as SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, HubSpot, Dynamics 365, NetSuite, QuickBooks Online, Snowflake, and Zoho, thereby providing extensive access to a wide range of information. Furthermore, it is compatible with numerous clients that support MCP, including Claude, Cursor, Visual Studio Code, Codex, Windsurf, Cline, and Zed, which enhances the overall user experience. Functioning within an organization’s own infrastructure, it enables developers, database administrators, data engineers, analysts, and operations teams to utilize their chosen AI tools for effectively querying internal business data. This capability not only streamlines the process of accessing information but also significantly boosts the organization’s ability to extract valuable insights from their data. Consequently, the solution transforms the landscape of business intelligence, making it more accessible and user-friendly for teams across various sectors.

Media

Media

Integrations Supported

Markdown
Model Context Protocol (MCP)
Python

Integrations Supported

Claude Desktop
Cline
Codex CLI
Cursor
Visual Studio Code
Zed

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$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 Offered?

Supported Platforms

Windows
Mac

Supported Platforms

Windows
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

fastmcp

Date Founded

2025

Company Location

United States

Company Website

gofastmcp.com/getting-started/welcome

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com/mcp/universal/

Categories and Features

MCP Gateways

Not specified

Categories and Features

MCP Gateways

Not specified

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