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SQL Database Bridge

Provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schem...

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6 installs
Updated Sep 9, 2025
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Provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schemas, monitoring performance, and generating reports with features like connection pooling and transaction management.
  1. Identify Your Database Credentials
    Gather the following information for your Microsoft SQL Server (MSSQL) database:

    • Host (DB_HOST): The address of your database server (e.g., localhost or 123.45.67.89).
    • Port (DB_PORT): The port number for SQL Server, usually 1433.
    • Database Name (DB_DATABASE): The name of your target database.
    • Username (DB_USER): The user account for accessing the database.
    • Password (DB_PASSWORD): The password for the above user.
    • Optional settings:
      • DB_ENCRYPT: Set "true" for encrypted connections if your server requires it, otherwise "false".
      • DB_TRUST_SERVER_CERTIFICATE: "true" if you want to trust the SQL certificate (typically "true" for local/testing, "false" for production).
  2. Fill in the FastMCP Connection Interface
    In the FastMCP connection interface, click the "Install Now" button for the SQL Server integration.

  3. Enter Your Database Configuration
    In the fields provided, enter the following values:

    • DB_HOST: Your database server address (e.g., localhost)
    • DB_PORT: Your database server port (most often 1433)
    • DB_DATABASE: The name of your database
    • DB_USER: Your database username
    • DB_PASSWORD: Your database password
    • DB_ENCRYPT: Set to "false" (or "true" if required)
    • DB_TRUST_SERVER_CERTIFICATE: Set to "true" (or "false" if required for certificate validation)
  4. Optional Advanced Configurations
    Additional options you may see in the interface:

    • NODE_ENV: Set this according to your environment (development, production, etc.)
    • LOG_LEVEL: Set the desired log level (e.g., info, debug).
  5. Save and Test the Connection
    After entering the above values, save your configuration and use any provided button to test the SQL connection to ensure your credentials are correct.

  6. Start Using the Integration
    Once the connection test succeeds, your AI assistant will be able to interact with your SQL database. You can now use database features as described in the documentation.

Note: Never share your DB_PASSWORD or database credentials with unauthorized users. Use account permissions and SSL/TLS encryption whenever possible for secure connections.

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