JDBC Database Connector

Generic JDBC MCP server implementation by CData Software that provides AI assistants with database connectivity through any JDBC-compliant driver, enabling SQL query execution and metadata exploration across diverse data sources. The implementation uses a configuration-driven approach where users specify their JDBC driver JAR, connection URL, and target tables, then exposes three core tools: get_tables for listing available database objects, get_columns for retrieving table schema information, and run_query for executing SELECT statements with results returned in CSV format. Built with Java 17 and designed for flexibility, it automatically discovers database capabilities like identifier quoting and catalog/schema support, making it valuable for data analysts needing conversational access to enterprise databases, developers building data integration workflows, or teams requiring AI-assisted database exploration across different database systems without writing custom integrations for each data source.