MySQL Database▌
by burakdirin
Connect to MySQL databases, execute SQL queries, and get JSON results easily with our simple interface—ideal for MySQL a
Enables direct SQL query execution and database connections to MySQL databases through a simple interface that returns results in JSON format.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Database administrators analyzing MySQL data
- / Developers building database-driven applications
- / Data analysts querying MySQL databases
capabilities
- / Execute SELECT queries on MySQL databases
- / Run INSERT, UPDATE, DELETE operations
- / Manage database connections
- / Query database schema and table structure
what it does
Connects AI models to MySQL databases for running queries and managing database operations. Uses environment variables or connection strings for database authentication.
about
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.
how to install
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.
license
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.
readme
mysqldb-mcp-server MCP server
A MySQL database MCP server project.
Installation
You can install the package using uv:
uv pip install mysqldb-mcp-server
Or using pip:
pip install mysqldb-mcp-server
Components
Tools
The server provides two tools:
-
connect_database: Connects to a specific MySQL databasedatabaseparameter: Name of the database to connect to (string)- Returns a confirmation message when connection is successful
-
execute_query: Executes MySQL queriesqueryparameter: SQL query/queries to execute (string)- Returns query results in JSON format
- Multiple queries can be sent separated by semicolons
Configuration
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)
Quickstart
Installation
Claude Desktop
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>
Installing via Smithery
To install MySQL Database Integration Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @burakdirin/mysqldb-mcp-server --client claude
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since 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.
FAQ
- What is the MySQL Database MCP server?
- MySQL Database is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for MySQL Database?
- This profile displays 70 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Direct Database Queries from AI
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
Data Analysis & Reporting
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
Schema Exploration
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Data Validation & Quality Checks
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor with MCP support
- ›Database credentials (read-only recommended for safety)
- ›Network access from Claude client to database
- ›Understanding of database security and access control
Time Estimate
15-30 minutes including configuration and testing
Installation Steps
- 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 8.Document query patterns for team use
Troubleshooting
- ⚠Connection refused: Check database is running and network accessible
- ⚠Authentication failed: Verify credentials, check user permissions
- ⚠Claude can't see tables: Grant appropriate read permissions to database user
- ⚠Slow queries: Add indexes, limit result set size, use read replicas
- ⚠MCP server not loading: Check config syntax, restart Claude Desktop
Best Practices▌
✓ Do
- +Use read-only database credentials to prevent accidental writes
- +Connect to read replica, not production primary database
- +Set query timeout limits to prevent long-running queries
- +Document database schema and common queries for AI context
- +Monitor query performance and optimize slow queries
- +Use connection pooling for better performance
- +Test with non-production data first
✗ Don't
- −Don't use production write credentials—risk of data corruption
- −Don't query production database during peak traffic hours
- −Don't expose sensitive PII without proper access controls
- −Don't skip query result validation—AI can misinterpret schema
- −Don't allow unlimited result set sizes—set LIMIT clauses
- −Don't share database credentials in plain text config files
💡 Pro Tips
- ★Create database views for common queries to simplify AI access
- ★Add schema comments/descriptions so AI understands column meanings
- ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
- ★Set up query logging to audit what Claude is querying
- ★Create saved query templates for recurring analysis
- ★Combine with data visualization tools for better insights
Technical Details▌
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
- Model Context Protocol (MCP)
- Database-specific protocols (PostgreSQL, MySQL, MongoDB)
Compatibility
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Redis
When to Use This▌
✓ 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.
Integration▌
- →Read replica connection for analytics queries
- →Database view layer to abstract complex joins
- →Query result caching for repeated questions
- →Audit logging of all AI-generated queries
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★70 reviews- ★★★★★Rahul Santra· Dec 20, 2024
We wired MySQL Database into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sofia Park· Dec 20, 2024
MySQL Database reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Naina Gill· Dec 20, 2024
I recommend MySQL Database for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yash Thakker· Dec 16, 2024
I recommend MySQL Database for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Jin Sharma· Dec 12, 2024
We wired MySQL Database into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kwame Singh· Dec 8, 2024
Useful MCP listing: MySQL Database is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Meera Zhang· Nov 27, 2024
MySQL Database is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ren Reddy· Nov 11, 2024
According to our notes, MySQL Database benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Anika Kim· Nov 11, 2024
MySQL Database has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Meera Yang· Nov 11, 2024
Strong directory entry: MySQL Database surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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