Skip to main content
Glama
santosh07401

Redshift MCP Server

by santosh07401

redshift_get_sample_data

Retrieve sample rows from Amazon Redshift tables to preview data structure and content before analysis or query execution.

Instructions

Get sample rows from a table.

Args:
    table_name: Name of the table
    limit: Number of rows to return (default: 5)
    schema: Schema name (default: "public")

Returns:
    JSON sample data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYes
limitNo
schemaNopublic

Implementation Reference

  • The handler function decorated with @mcp.tool(), defining the input schema via type hints and docstring, and implementing the logic to fetch sample data by calling redshift_query with a generated SQL query.
    @mcp.tool()
    def redshift_get_sample_data(table_name: str, limit: int = 5, schema: str = "public") -> str:
        """
        Get sample rows from a table.
        
        Args:
            table_name: Name of the table
            limit: Number of rows to return (default: 5)
            schema: Schema name (default: "public")
        
        Returns:
            JSON sample data
        """
        sql = f"SELECT * FROM {schema}.{table_name} LIMIT {limit}"
        return redshift_query(sql)
  • Supporting helper tool 'redshift_query' that executes arbitrary SQL using pandas and returns JSON, called by redshift_get_sample_data.
    @mcp.tool()
    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)}"
  • Utility function to establish database connection, used indirectly by redshift_query.
    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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/santosh07401/redshift-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server