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by gkvsanjeev • Data & Databases
An MCP server that exposes database connections and SQL tooling via the Legion Query Runner so AI assistants can query and manage relational and analytical databases.
Run SQL queries against a variety of databases and receive results as JSON or markdown tables.
Database schema and column metadata exposed as MCP resources to inform query generation and validation.
Built-in prompts and tools to generate, explain, and optimize SQL as part of a conversational or autonomous workflow.
This server integrates the Legion Query Runner with the Model Context Protocol (MCP) Python SDK to expose databases as MCP resources, tools, and prompts. It supports many database types (Postgres, MySQL, BigQuery, Oracle, SQLite, etc.), returns query results as JSON or markdown tables, and provides schema and metadata to assistants. The project can be run standalone, integrated with FastAPI, or deployed via uv/pip and is distributed under GPL.
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