MCP MySQL Server
# @f4ww4z/mcp-mysql-server
[](https://smithery.ai/server/@f4ww4z/mcp-mysql-server)
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
<a href="https://glama.ai/mcp/servers/qma33al6ie"><img width="380" height="200" src="https://glama.ai/mcp/servers/qma33al6ie/badge" alt="mcp-mysql-server MCP server" /></a>
## Installation
### Installing via Smithery
To install MySQL Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@f4ww4z/mcp-mysql-server):
```bash
npx -y @smithery/cli install @f4ww4z/mcp-mysql-server --client claude
```
### Manual Installation
```bash
npx @f4ww4z/mcp-mysql-server
```
## Configuration
The server requires the following environment variables to be set in your MCP settings configuration file:
```json
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@f4ww4z/mcp-mysql-server"],
"env": {
"MYSQL_HOST": "your_host",
"MYSQL_USER": "your_user",
"MYSQL_PASSWORD": "your_password",
"MYSQL_DATABASE": "your_database"
}
}
}
}
```
## Available Tools
### 1. connect_db
Establish connection to MySQL database using provided credentials.
```typescript
use_mcp_tool({
server_name: "mysql",
tool_name: "connect_db",
arguments: {
host: "localhost",
user: "your_user",
password: "your_password",
database: "your_database"
}
});
```
### 2. query
Execute SELECT queries with optional prepared statement parameters.
```typescript
use_mcp_tool({
server_name: "mysql",
tool_name: "query",
arguments: {
sql: "SELECT * FROM users WHERE id = ?",
params: [1]
}
});
```
### 3. execute
Execute INSERT, UPDATE, or DELETE queries with optional prepared statement parameters.
```typescript
use_mcp_tool({
server_name: "mysql",
tool_name: "execute",
arguments: {
sql: "INSERT INTO users (name, email) VALUES (?, ?)",
params: ["John Doe", "john@example.com"]
}
});
```
### 4. list_tables
List all tables in the connected database.
```typescript
use_mcp_tool({
server_name: "mysql",
tool_name: "list_tables",
arguments: {}
});
```
### 5. describe_table
Get the structure of a specific table.
```typescript
use_mcp_tool({
server_name: "mysql",
tool_name: "describe_table",
arguments: {
table: "users"
}
});
```
## Features
- Secure connection handling with automatic cleanup
- Prepared statement support for query parameters
- Comprehensive error handling and validation
- TypeScript support
- Automatic connection management
## Security
- Uses prepared statements to prevent SQL injection
- Supports secure password handling through environment variables
- Validates queries before execution
- Automatically closes connections when done
## Error Handling
The server provides detailed error messages for common issues:
- Connection failures
- Invalid queries
- Missing parameters
- Database errors
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request to https://github.com/f4ww4z/mcp-mysql-server
## License
MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no ambiguity: connect_db handles database connections, describe_table retrieves table structures, execute manages data modification queries, list_tables enumerates tables, and query handles SELECT queries. The separation between execute (for INSERT/UPDATE/DELETE) and query (for SELECT) is particularly well-defined.
All tool names follow a consistent verb_noun pattern with snake_case: connect_db, describe_table, execute, list_tables, and query. While 'execute' and 'query' are single words, they function as verbs in this context and maintain readability without mixing conventions.
With 5 tools, this server is well-scoped for MySQL database interactions. Each tool earns its place by covering essential operations: connection management, schema inspection, data querying, and data modification. This count is neither too sparse nor bloated for the domain.
The tool set provides strong coverage for core MySQL workflows, including connection, schema exploration, and CRUD operations via execute and query. A minor gap exists in lacking explicit tools for database management (e.g., create/drop database) or transaction control, but agents can work around this using execute for such queries.