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    Mcp Db Navigator

    A powerful MySQL/MariaDB database navigation MCP (Model Control Protocol) to be installed in Cursor, Claude or other tools that accept mcps for easy database querying and management.

    6 stars
    Python
    Updated Sep 14, 2025

    Table of Contents

    • Features
    • Log File Location (Cross-Platform)
    • Installation
    • From PyPI (recommended for most users):
    • From source (for development):
    • Usage Examples
    • 1. Command Line
    • 2. In Cursor
    • 3. In Claude Desktop
    • Query Parameters
    • Security Features
    • Production Features
    • Error Handling
    • Performance
    • Monitoring
    • Contributing
    • License

    Table of Contents

    • Features
    • Log File Location (Cross-Platform)
    • Installation
    • From PyPI (recommended for most users):
    • From source (for development):
    • Usage Examples
    • 1. Command Line
    • 2. In Cursor
    • 3. In Claude Desktop
    • Query Parameters
    • Security Features
    • Production Features
    • Error Handling
    • Performance
    • Monitoring
    • Contributing
    • License

    Documentation

    MySQL Navigator MCP

    A powerful MySQL/MariaDB database navigation tool using MCP (Model Control Protocol) for easy database querying and management.

    Features

    • Connect to MySQL/MariaDB databases
    • Switch between different databases dynamically
    • Execute SQL queries with type safety
    • Retrieve database schema information
    • Pydantic model validation for query parameters
    • Secure credential management
    • Comprehensive logging system
    • Connection pooling and retry mechanisms
    • SSL/TLS support for secure connections

    Log File Location (Cross-Platform)

    By default, all logs are written to:

    • Windows: C:\Users\\.mcp\mcp-db.log
    • macOS/Linux: /home//.mcp/mcp-db.log or /Users//.mcp/mcp-db.log

    If the .mcp folder does not exist in your home directory, the application will automatically create it. If you run into any issues, you can manually create the folder:

    Windows:

    powershell
    mkdir $env:USERPROFILE\.mcp

    macOS/Linux:

    bash
    mkdir -p ~/.mcp

    Installation

    From PyPI (recommended for most users):

    bash
    pip install mcp-db-navigator

    From source (for development):

    bash
    git clone 
    cd mcp-db
    pip install -e .

    3. Create a .env file with your database credentials:

    env
    DB_HOST=your_host
    DB_PORT=your_port
    DB_NAME=your_database_name
    DB_USER=your_username
    DB_PASSWORD=your_password
    DB_SSL_CA=/path/to/ssl/ca.pem  # Optional: for SSL/TLS connections
    DB_MAX_RETRIES=3  # Optional: number of connection retries
    DB_RETRY_DELAY=1.0  # Optional: delay between retries in seconds

    Usage Examples

    1. Command Line

    Run the MCP server directly from your terminal:

    bash
    mcp-db --config /path/to/your/project/.env

    2. In Cursor

    To use this MCP server in Cursor:

    • Open Cursor settings and add a new MCP server.
    • Use the following configuration (example):
    json
    {
      "mcpServers": {
        "mysql-navigator": {
          "command": "mcp-db",
          "args": [
            "--config",
            "/absolute/path/to/your/.env"
          ]
        }
      }
    }
    • Make sure the path to your .env file is absolute.

    3. In Claude Desktop

    If Claude Desktop supports MCP servers:

    • Add a new MCP server and point it to the mcp-db command with the --config argument as above.
    • Refer to Claude Desktop's documentation for details on adding custom MCP servers.

    Query Parameters

    The query dictionary supports the following parameters:

    • table_name (required): Name of the table to query
    • select_fields (optional): List of fields to select (defaults to ["*"])
    • where_conditions (optional): Dictionary of field-value pairs for WHERE clause
    • order_by (optional): List of fields to order by
    • order_direction (optional): Sort direction "ASC" or "DESC" (default: "ASC")
    • limit (optional): Number of records to return
    • offset (optional): Number of records to skip
    • group_by (optional): List of fields to group by
    • having (optional): Dictionary of field-value pairs for HAVING clause
    • join_table (optional): Name of the table to join with
    • join_type (optional): Type of JOIN operation (default: "INNER")
    • join_conditions (optional): Dictionary of join conditions

    Security Features

    • Database credentials are managed through a config file
    • Passwords are stored as SecretStr in Pydantic models
    • Input validation for all query parameters
    • SQL injection prevention through parameterized queries
    • SSL/TLS support for encrypted connections
    • Connection string sanitization
    • Rate limiting for queries
    • Query parameter sanitization

    Production Features

    Error Handling

    • Comprehensive error handling for database operations
    • Connection timeout handling
    • Automatic retry mechanism for failed connections
    • Input validation for all parameters

    Performance

    • Connection pooling for optimal resource usage
    • Query execution time logging
    • Connection pool statistics
    • Performance metrics collection

    Monitoring

    • Structured logging with different log levels
    • Query execution tracking
    • Connection state monitoring
    • Error rate tracking

    Contributing

    1. Fork the repository

    2. Create your feature branch (git checkout -b feature/amazing-feature)

    3. Commit your changes (git commit -m 'Add some amazing feature')

    4. Push to the branch (git push origin feature/amazing-feature)

    5. Open a Pull Request

    License

    This project is licensed under the MIT License - see the LICENSE file for details.

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