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DeepaRajareddy

Redshift MCP Server

redshift_query

Execute SQL queries on Amazon Redshift databases to retrieve data in JSON format for analysis and reporting purposes.

Instructions

Execute a SQL query on Redshift and return results as JSON.

Args:
    sql: The SQL query to execute

Returns:
    JSON string of the query results or error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes

Implementation Reference

  • The main handler function for the 'redshift_query' tool. It executes the provided SQL query on a Redshift (or local Postgres) database using pandas.read_sql and returns the results as a formatted JSON string. Includes error handling.
    def redshift_query(sql: str) -> str:
        """
        Execute a SQL query on Redshift and return results as JSON.
        
        Args:
            sql: The SQL query to execute
        
        Returns:
            JSON string of the query results or error message
        """
        try:
            with get_connection() as conn:
                df = pd.read_sql(sql, conn)
                return df.to_json(orient="records", indent=2)
        except Exception as e:
            return f"Error executing query: {str(e)}"
  • Supporting helper function used by redshift_query to establish a database connection, supporting both Redshift and local Postgres for testing.
    def get_connection():
        """Create a connection to Redshift or local Postgres."""
        try:
            # If host is localhost and port is 5432, assume local Postgres for testing
            if REDSHIFT_HOST == "localhost" and REDSHIFT_PORT == 5432:
                import psycopg2
                return psycopg2.connect(
                    host=REDSHIFT_HOST,
                    port=REDSHIFT_PORT,
                    database=REDSHIFT_DATABASE,
                    user=REDSHIFT_USER,
                    password=REDSHIFT_PASSWORD
                )
            else:
                return redshift_connector.connect(
                    host=REDSHIFT_HOST,
                    port=REDSHIFT_PORT,
                    database=REDSHIFT_DATABASE,
                    user=REDSHIFT_USER,
                    password=REDSHIFT_PASSWORD
                )
        except Exception as e:
            logger.error(f"Connection error: {e}")
            raise
  • The @mcp.tool() decorator registers the redshift_query function as an MCP tool.
    def redshift_query(sql: str) -> str:

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