Implement a MariaDB MCP server with schema access and integration options for seamless data retrieval
MCP Server MariaDB is an implementation of an MCP (Model Context Protocol) server designed to facilitate data retrieval and management, specifically from a MariDB database. This server serves as a critical component in the broader MCP infrastructure, enabling AI applications like Claude Desktop, Continue, Cursor, and other MCP clients to efficiently interact with backend databases for various purposes such as data analysis, model training, or real-time queries.
MCP Server MariaDB is part of a larger ecosystem that aims to standardize the interaction between AI tools and their underlying data sources. By adopting this protocol, developers can ensure seamless data exchange and robust integration across different applications and environments.
One of the primary features of MCP Server MariaDB is its ability to expose a schema list from the database. This feature allows MCP clients to dynamically discover the available tables, columns, and their metadata. This dynamic discovery process enhances the flexibility of AI applications by enabling them to adapt to changes in the underlying database structure without requiring manual updates.
MCP Server MariaDB also supports executing read-only operations against a MariDB instance through the query_database
tool. This capability is crucial for AI applications that require real-time data retrieval or need to perform complex queries on the backend database. The query_database
tool provides an efficient and secure interface for MCP clients to interact with the database, ensuring that the data fetched aligns with the application's requirements.
The MCP Server MariaDB depends on MariDB being installed correctly on the system. On macOS, users may encounter an OSError: mariadb_config not found
error during installation of MariDB Connector/C. This issue can be resolved by installing mariadb-connector-c
, setting the environment variable MARIADB_CONFIG
, and then running uv add mariadb
. This setup ensures that the server has all the necessary dependencies to interact with the database effectively.
To install MariDB, follow these steps for macOS:
brew install mariadb-connector-c
echo 'export PATH="/opt/homebrew/opt/mariadb-connector-c/bin:$PATH"' >> ~/.bashrc
export MARIADB_CONFIG=$(brew --prefix mariadb-connector-c)/bin/mariadb_config
uv add mariadb
.These steps ensure that all necessary dependencies are set up correctly, allowing the server to communicate with the database without issues.
To enable MCP Server MariaDB in configurations like Claude Desktop, you need to add the appropriate configuration details. The example below shows how to configure McAmp Server MariaDB within the claude_desktop_config.json
file:
{
"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}"
]
}
}
}
For development or unpublished server configurations, the process is slightly different. Here’s an example configuration:
{
"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"
}
}
}
}
These configurations ensure that the server runs correctly and can be accessed by MCP clients.
Imagine an AI application like Claude Desktop needing real-time data from a MariDB database. Using MCP Server MariaDB, Claude Desktop can query specific datasets, process them locally or in the cloud, and take immediate actions based on the insights derived from this data.
In a business intelligence setting, Cursor could leverage MCP Server MariaDB to fetch historical sales data, perform predictive analytics, and generate actionable reports. This seamless interaction ensures that all decision-making processes are grounded in accurate and updated information.
MCP Server MariaDB supports full compatibility with major MCP clients such as Claude Desktop and Continue in various aspects: resources, tools, and prompts. The table below outlines the current client support status:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
This ensures that the server can be seamlessly integrated into these tools, providing a consistent and powerful backend support.
MCP Server MariaDB is designed to be highly compatible with various systems and environments. It leverages standard protocols and libraries such as MariDB and UVX to ensure optimal performance and minimal compatibility issues.
The following diagram illustrates the flow of data and commands between an MCP client, the server, and the database:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram highlights the communication flow, showing how data is transmitted securely and efficiently.
To secure your MCP Server MariaDB setup, it's essential to use environment variables for sensitive information such as database credentials. The example configuration above illustrates how to set these variables appropriately:
"env": {
"MARIADB_HOST": "127.0.0.1",
"MARIADB_USER": "USER",
"MARIADB_PASSWORD": "PASSWORD",
"MARIADB_DATABASE": "DATABASE",
"MARIADB_PORT": "3306"
}
How do I resolve OSError: mariadb_config not found
?
This error typically occurs when MariDB Connector/C is not installed or its path is not correctly set in the environment variables. Follow these steps to resolve it:
brew install mariadb-connector-c &&
echo 'export PATH="/opt/homebrew/opt/mariadb-connector-c/bin:$PATH"' >> ~/.bashrc &&
export MARIADB_CONFIG=$(brew --prefix mariadb-connector-c)/bin/mariadb_config &&
uv add mariadb
Which MCP clients are fully supported by this server?
Currently, Claude Desktop and Continue have full support for resources, tools, and prompts, while Cursor is only compatible with tool interactions.
How can I troubleshoot issues related to database queries?
Ensure that the database connection details (host, port, user, password) are correctly specified in your configuration file. Additionally, check if any syntax errors exist in your query commands.
Can I use this server for live data streams?
Yes, MCP Server MariaDB supports real-time data retrieval via queries designed to return streams of updated information from the database.
What is the typical setup process for running a development server locally?
To run a development server, modify your configuration to point to local source code paths and use environment variables for runtime settings like host and port.
Contributions to MCP Server MariaDB are welcome. Developers can contribute by:
To get started, clone the repository from GitHub and follow the development guide for setting up a local environment.
MCP Server MariaDB is part of the broader Model Context Protocol ecosystem. For more information on MCP clients, tools, and resources, visit Model Context Protocol’s official documentation.
By adopting MCP Server MariaDB, developers can build robust AI applications that seamlessly interact with complex databases, ensuring efficiency and reliability in their workflows.
This document positions MCP Server MariaDB as a valuable tool for integrating AI applications with MariDB databases through the Model Context Protocol. For developers working on AI projects, this server offers a powerful way to enhance data handling and application performance.
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