
MCP Database Server
The MCP Database Server enables secure, programmatic access to popular databases like SQLite, SQL Server, PostgreSQL, and MySQL for AI assistants and automation...
Enable your AI agents to securely interact with MariaDB databases via FlowHunt. The MariaDB MCP Server offers essential, read-only database access for analytics, reporting, and safe exploration.
The MariaDB MCP Server is a tool designed to provide AI assistants with read-only access to MariaDB databases. Acting as a Model Context Protocol (MCP) server, it enables AI-powered development workflows to connect directly to external MariaDB data sources. This integration allows AI assistants to perform tasks such as retrieving database schemas and executing read-only queries, which can be invaluable for data analytics, application development, and business intelligence. By bridging the gap between large language models and live database content, the MariaDB MCP Server facilitates secure, streamlined, and context-rich interactions that enhance developer productivity without compromising database integrity.
No prompt templates are mentioned in the available documentation.
Database Exploration
Developers and data scientists can retrieve schema information and perform read-only queries to understand the structure of MariaDB databases without risking accidental modification.
Business Intelligence
Enables AI assistants to power dashboards or generate reports by querying live data from MariaDB databases in a secure, read-only manner.
Application Debugging
Developers can use the server to safely inspect and validate data within production databases, supporting troubleshooting and verification tasks.
Automated Data Analysis
AI tools can fetch and process database records for statistical analysis, trend identification, or machine learning model training.
No explicit instructions provided for Windsurf in the available documentation.
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"mcp_server_mariadb": {
"command": "/PATH/TO/uvx",
"args": [
"mcp-server-mariadb",
"--host",
"${DB_HOST}",
"--port",
"${DB_PORT}",
"--user",
"${DB_USER}",
"--password",
"${DB_PASSWORD}",
"--database",
"${DB_NAME}"
]
}
}
}
/PATH/TO/uvx
to the full path of your uvx
executable.Development/Unpublished Server Example:
{
"mcpServers": {
"mcp_server_mariadb": {
"command": "/PATH/TO/uv",
"args": [
"--directory",
"/YOUR/SOURCE/PATH/mcp-server-mariadb/src/mcp_server_mariadb",
"run",
"server.py"
],
"env": {
"MARIADB_HOST": "127.0.0.1",
"MARIADB_USER": "USER",
"MARIADB_PASSWORD": "PASSWORD",
"MARIADB_DATABASE": "DATABASE",
"MARIADB_PORT": "3306"
}
}
}
}
Remember to replace all placeholder paths and credentials accordingly.
No explicit instructions provided for Cursor in the available documentation.
No explicit instructions provided for Cline in the available documentation.
When configuring your environment, use environment variables for sensitive credentials. Example:
"env": {
"MARIADB_HOST": "127.0.0.1",
"MARIADB_USER": "USER",
"MARIADB_PASSWORD": "PASSWORD",
"MARIADB_DATABASE": "DATABASE",
"MARIADB_PORT": "3306"
}
Store values securely and never hardcode secrets in configuration files.
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"mcp_server_mariadb": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "mcp_server_mariadb"
to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | Overview and feature summary available |
List of Prompts | ⛔ | No prompt templates documented |
List of Resources | ✅ | Exposes schema list in database |
List of Tools | ✅ | query_database tool documented |
Securing API Keys | ✅ | Documented via env in sample configs |
Sampling Support (less important in evaluation) | ⛔ | No mention of sampling support |
Based on the above tables, the MariaDB MCP Server is simple and focused, providing essential functionality for MariaDB database access. It lacks advanced MCP features such as prompt templates or sampling, but does well in core areas such as tools, resources, and secure configuration. For a read-only database server, this is solid but basic.
Has a LICENSE | ✅ (MIT) |
---|---|
Has at least one tool | ✅ |
Number of Forks | 4 |
Number of Stars | 17 |
The MariaDB MCP Server is a connector that allows AI agents to access MariaDB databases in a secure, read-only mode. It exposes schema listings and provides a query tool for SELECT statements, making it ideal for analytics, reporting, and safe database exploration.
It provides the 'query_database' tool, which allows AI agents to perform read-only operations—such as SELECT queries—on the MariaDB instance.
Yes. The server is designed for read-only access, meaning it cannot modify or delete data, making it safe for use on production databases.
Store your credentials in environment variables and reference them in your MCP server configuration. Never hardcode passwords or sensitive information directly in configuration files.
Absolutely. Add the MCP component to your FlowHunt flow, provide your MariaDB MCP server details in the configuration, and your AI agent will be able to access the database as a tool.
No, the MariaDB MCP Server is focused on essential database access, offering schema listing and read-only query support. Advanced features like prompt templates are not included.
Streamline access to your live MariaDB data for analytics and automation—securely and efficiently with FlowHunt’s MariaDB MCP Server.
The MCP Database Server enables secure, programmatic access to popular databases like SQLite, SQL Server, PostgreSQL, and MySQL for AI assistants and automation...
The MySQL MCP Server provides a secure bridge between AI assistants and MySQL databases. It enables structured database exploration, querying, and data analysis...
AnalyticDB for MySQL MCP Server provides a universal interface for connecting AI agents to Alibaba Cloud's AnalyticDB for MySQL, enabling seamless database acce...