MySQL Query MCP Server
A Model Context Protocol (MCP) server that provides read-only MySQL database queries for AI assistants. Execute queries, explore database structures, and investigate your data directly from your AI-powered tools.
Supported AI Tools
This MCP server works with any tool that supports the Model Context Protocol, including:
- Cursor IDE: Set up in
.cursor/mcp.json - Anthropic Claude: Use with a compatible MCP client
- Other MCP-compatible AI assistants: Follow the tool's MCP configuration instructions
Features & Limitations
What It Does
- ✅ Execute read-only MySQL queries (SELECT, SHOW, DESCRIBE only)
- ✅ Work with predefined environments (local, development, staging, production)
- ✅ Provide database information and metadata
- ✅ List available database environments
- ✅ Support SSL connections for secure database access
- ✅ Implement query timeouts to prevent long-running operations
What It Doesn't Do
- ❌ Execute write operations (INSERT, UPDATE, DELETE, CREATE, ALTER, etc.)
- ❌ Support custom environment names (limited to local, development, staging, production)
- ❌ Provide database design or schema generation capabilities
- ❌ Function as a full database management tool
This tool is designed specifically for data investigation and exploration through read-only queries. It is not intended for database administration, schema management, or data modification.
Quick Install
# Install globally with npm
npm install -g mysql-query-mcp-server
# Or run directly with npx
npx mysql-query-mcp-server
Setup Instructions
Configure Your AI Tool to Use the MCP Server
Create or edit your MCP configuration file (e.g., .cursor/mcp.json for Cursor IDE):
Basic Configuration:
{
"mysql": {
"name": "MySQL Query MCP",
"description": "MySQL read-only query access through MCP",
"type": "bin",
"enabled": true,
"bin": "mysql-query-mcp"
}
}
Comprehensive Configuration with Database Credentials:
{
"mysql": {
"command": "npx",
"args": ["mysql-query-mcp-server@latest"],
"env": {
"LOCAL_DB_HOST": "localhost",
"LOCAL_DB_USER": "root",
"LOCAL_DB_PASS": "<YOUR_LOCAL_DB_PASSWORD>",
"LOCAL_DB_NAME": "your_database",
"LOCAL_DB_PORT": "3306",
"DEVELOPMENT_DB_HOST": "dev.example.com",
"DEVELOPMENT_DB_USER": "<DEV_USER>",
"DEVELOPMENT_DB_PASS": "<DEV_PASSWORD>",
"DEVELOPMENT_DB_NAME": "your_database",
"DEVELOPMENT_DB_PORT": "3306",
"STAGING_DB_HOST": "staging.example.com",
"STAGING_DB_USER": "<STAGING_USER>",
"STAGING_DB_PASS": "<STAGING_PASSWORD>",
"STAGING_DB_NAME": "your_database",
"STAGING_DB_PORT": "3306",
"PRODUCTION_DB_HOST": "prod.example.com",
"PRODUCTION_DB_USER": "<PRODUCTION_USER>",
"PRODUCTION_DB_PASS": "<PRODUCTION_PASSWORD>",
"PRODUCTION_DB_NAME": "your_database",
"PRODUCTION_DB_PORT": "3306",
"DEBUG": "false",
"MCP_MYSQL_SSL": "true",
"MCP_MYSQL_REJECT_UNAUTHORIZED": "false"
}
}
}
Choosing the Right Configuration Approach
There are two ways to configure the MySQL MCP server:
-
Binary Configuration (
type: "bin",bin: "mysql-query-mcp")- When to use: When you've installed the package globally (
npm install -g mysql-query-mcp-server) - Pros: Simpler configuration
- Cons: Requires global installation
- When to use: When you've installed the package globally (
-
Command Configuration (
command: "npx",args: ["mysql-query-mcp-server@latest"])- When to use: When you want to use the latest version without installing it globally
- Pros: No global installation required, all configuration in one file
- Cons: More complex configuration
Choose the approach that best fits your workflow. Both methods will work correctly with any AI assistant that supports MCP.
Important Configuration Notes
- You must use the full environment names: LOCAL_, DEVELOPMENT_, STAGING_, PRODUCTION_
- Abbreviations like DEV_ or PROD_ will not work
- Global settings like DEBUG, MCP_MYSQL_SSL apply to all environments
- At least one environment (typically "local") must be configured
- You only need to configure the environments you plan to use
- For security reasons, consider using environment variables or secure credential storage for production credentials
Configuration Options
| Environment Variable | Description | Default |
|---|---|---|
| DEBUG | Enable debug logging | false |
| [ENV]_DB_HOST | Database host for environment | - |
| [ENV]_DB_USER | Database username | - |
| [ENV]_DB_PASS | Database password | - |
| [ENV]_DB_NAME | Database name | - |
| [ENV]_DB_PORT | Database port | 3306 |
| [ENV]_DB_SSL | Enable SSL connection | false |
| MCP_MYSQL_SSL | Enable SSL for all connections | false |
| MCP_MYSQL_REJECT_UNAUTHORIZED | Verify SSL certificates | true |
Integration with AI Assistants
Your AI assistant can interact with MySQL databases through the MCP server. Here are some examples:
Example queries:
Can you use the query tool to show me the first 10 users from the database? Use the local environment.
I need to analyze our sales data. Can you run a SQL query to get the total sales per region for last month from the development database?
Can you use the info tool to check what tables are available in the staging database?
Can you list all the available database environments we have configured?
Using MySQL MCP Tools
The MySQL Query MCP server provides three main tools that your AI assistant can use:
1. query
Execute read-only SQL queries against a specific environment:
Use the query tool to run:
SELECT * FROM customers WHERE signup_date > '2023-01-01' LIMIT 10;
on the development environment
2. info
Get detailed information about your database:
Use the info tool to check the status of our production database.
3. environments
List all configured environments from your configuration:
Use the environments tool to show me which database environments are available.
Available Tools
The MySQL Query MCP server provides three main tools:
1. query
Execute read-only SQL queries:
-- Example query to run with the query tool
SELECT * FROM users LIMIT 10;
Supported query types (strictly limited to):
- SELECT statements
- SHOW commands
- DESCRIBE/DESC tables
2. info
Get detailed information about your database:
- Server version
- Connection status
- Database variables
- Process list
- Available databases
3. environments
List all configured environments from your configuration:
Use the environments tool to show me which database environments are available.
Security Considerations
- ✅ Only read-only queries are allowed (SELECT, SHOW, DESCRIBE)
- ✅ Each environment has its own isolated connection pool
- ✅ SSL connections are supported for production environments
- ✅ Query timeouts prevent runaway operations
- ⚠️ Consider using secure credential management for database credentials
Troubleshooting
Connection Issues
If you're having trouble connecting:
- Verify your database credentials in your MCP configuration
- Ensure the MySQL server is running and accessible
- Check for firewall rules blocking connections
- Enable debug mode by setting DEBUG=true in your configuration
Common Errors
Error: No connection pool available for environment
- Make sure you've defined all required environment variables for that environment
- Check that you're using one of the supported environment names (local, development, staging, production)
Error: Query execution failed
- Verify your SQL syntax
- Check that you're only using supported query types (SELECT, SHOW, DESCRIBE)
- Ensure your query is truly read-only
For more comprehensive troubleshooting, see the Troubleshooting Guide.
For examples of how to integrate with AI assistants, see the Integration Examples.
For implementation details about the MCP protocol, see the MCP README.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
CI/CD and Release Process
This project uses GitHub Actions for continuous integration and automated releases.
CI/CD Workflow
The CI/CD pipeline consists of:
-
Build and Test: Runs on every push to
mainanddevelopbranches, and on pull requests to these branches- Tests the codebase with Node.js 16.x and 18.x
- Ensures the package builds correctly
- Validates all tests pass
-
Release: Runs when changes are pushed to the
mainbranch and the build/test job succeeds- Uses
release-pleaseto manage version bumps and changelog updates - Creates a release PR with version changes based on conventional commits
- Automatically publishes to npm when a release PR is merged
- Uses
Release Process
The project follows Semantic Versioning:
- Major version: Breaking changes (non-backward compatible)
- Minor version: New features (backward compatible)
- Patch version: Bug fixes and minor improvements
Commits should follow the Conventional Commits format:
feat: add new feature- Minor version bumpfix: resolve bug- Patch version bumpdocs: update documentation- No version bumpchore: update dependencies- No version bumpBREAKING CHANGE: change API- Major version bump
When you push to main, release-please will analyze commits and automatically create or update a release PR with appropriate version bumps and changelog entries.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Abou Koné - Engineering Leader and CTO
For more information or support, please open an issue on the GitHub repository.