kosminus/querywise-mcp

What it does

QueryWise MCP is a Model Context Protocol server that enables natural language querying of SQL databases. It abstracts away SQL complexity by implementing a business semantic layer that translates conversational queries into database operations. The tool supports multiple database backends including SQLite, PostgreSQL, BigQuery, and Databricks.

Key features

• Natural language to SQL translation without writing SQL queries
• Business semantic layer with glossary and metrics definitions
• Data dictionary grounded against real database schema
• Multi-database support (SQLite, PostgreSQL, BigQuery, Databricks)
• Integration with Claude, ChatGPT, and other MCP-compatible AI tools

How to set up

QueryWise MCP is installed as a Python package and configured as an MCP server. Installation typically involves adding the server configuration to your MCP-compatible AI tool's settings, defining your database connection parameters, and optionally configuring the semantic layer with business metrics and glossary terms. Detailed setup instructions are available in the GitHub repository documentation.