Database Query

Provides direct database access and querying capabilities across H2, PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, and BigQuer

skanga 96
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This MCP server provides AI assistants with direct database access and querying capabilities across multiple database systems, built using Java with HikariCP connection pooling and comprehensive JDBC driver support. The implementation offers SQL query execution with configurable row limits and timeouts, database resource discovery including tables, views, and schemas with metadata extraction, and multi-database support spanning H2, PostgreSQL, MySQL, Oracle, SQL Server, and cloud analytics platforms like Snowflake and BigQuery through Maven profile-based driver packaging. Built with connection pooling, security controls including read-only modes and SQL length limits, both stdio and HTTP operation modes, and extensive test coverage with real database integration testing, it serves data analysis workflows requiring natural language database querying, business intelligence applications needing conversational data access, and development environments where AI-driven database exploration enhances productivity without direct SQL knowledge.

Source

Repository: https://github.com/skanga/dbchat

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