MCP Server Mariadb Reader
This is an MCP server project that provides exploration and interaction functions for MariaDB databases, supporting AI assistants to access and query database information through tools.
rating : 2.5 points
downloads : 16
What is MariaDB Reader MCP Server?
This is a bridge service that connects AI assistants with MariaDB databases, allowing AI assistants like Cline to safely query and browse database content without direct access to database credentials.How to use this service?
Integrate the service into the MCP client (such as the VS Code plugin) through simple configuration, and the AI assistant can query the database through natural language.Use cases
Data analysts can quickly query database structures through AI, developers can obtain real - time data references during coding, and business personnel can obtain data insights in natural language.Main features
Database navigationVisually browse all accessible databases and table structures
Schema queryGet detailed field definitions and data types of any table
Data previewSafely view a sample of table data (100 rows by default)
Advantages and limitations
Advantages
Explore databases without writing SQL
Ensure data security through permission control
Seamlessly integrate with mainstream AI assistants
Limitations
Only support query operations (do not support data modification)
There is a limit on the amount of data returned by default
Database connection needs to be pre - configured
How to use
Get the service code
Clone the GitHub repository to the local machine
Configure connection information
Set database connection parameters in the MCP client configuration file
Start the service
Automatically load the service through the MCP client
Usage examples
Explore a new databaseQuickly understand the data structure when accessing a new project database
Data field verificationConfirm the accurate field types of a certain table during development
Frequently Asked Questions
What permissions are required to use?
How to increase the number of rows returned by the query?
Related resources
GitHub repository
Project source code and latest version
MCP protocol documentation
Official description of the Model Context Protocol
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points