Query SQL databases in natural language through a business semantic layer with glossary, metrics, and data dictionary. Supports SQLite, PostgreSQL, BigQuery, and Databricks for non-technical users.
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.
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.
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