by burakdirin
Connect to MySQL databases, execute SQL queries, and get JSON results easily with our simple interface—ideal for MySQL a
Connects AI models to MySQL databases for running queries and managing database operations. Uses environment variables or connection strings for database authentication.
MySQL Database is a community-built MCP server published by burakdirin that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to MySQL databases, execute SQL queries, and get JSON results easily with our simple interface—ideal for MySQL a It is categorized under databases.
You can install MySQL Database in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
MySQL Database is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Share your MCP server with the developer community
We wired MySQL Database into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
MySQL Database reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend MySQL Database for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend MySQL Database for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired MySQL Database into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: MySQL Database is the kind of server we cite when onboarding engineers to host + tool permissions.
MySQL Database is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, MySQL Database benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
MySQL Database has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: MySQL Database surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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A MySQL database MCP server project.
You can install the package using uv:
uv pip install mysqldb-mcp-server
Or using pip:
pip install mysqldb-mcp-server
The server provides two tools:
connect_database: Connects to a specific MySQL database
database parameter: Name of the database to connect to (string)execute_query: Executes MySQL queries
query parameter: SQL query/queries to execute (string)The server uses the following environment variables:
MYSQL_HOST: MySQL server address (default: "localhost")MYSQL_USER: MySQL username (default: "root")MYSQL_PASSWORD: MySQL password (default: "")MYSQL_DATABASE: Initial database (optional)MYSQL_READONLY: Read-only mode (set to 1/true to enable, default: false)MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"mysqldb-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/Users/burakdirin/Projects/mysqldb-mcp-server",
"run",
"mysqldb-mcp-server"
],
"env": {
"MYSQL_HOST": "localhost",
"MYSQL_USER": "root",
"MYSQL_PASSWORD": "password",
"MYSQL_DATABASE": "[optional]",
"MYSQL_READONLY": "true"
}
}
}
}
</details>
<details>
<summary>Published Server Configuration</summary>
{
"mcpServers": {
"mysqldb-mcp-server": {
"command": "uvx",
"args": [
"mysqldb-mcp-server"
],
"env": {
"MYSQL_HOST": "localhost",
"MYSQL_USER": "root",
"MYSQL_PASSWORD": "password",
"MYSQL_DATABASE": "[optional]",
"MYSQL_READONLY": "true"
}
}
}
}
</details>
To install MySQL Database Integration Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @burakdirin/mysqldb-mcp-server --client claude
To prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/ directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDSince MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /Users/burakdirin/Projects/mysqldb-mcp-server run mysqldb-mcp-server
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Prerequisites
Time Estimate
15-30 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.