Database MCP Server, developed by Legion AI, enables AI assistants to access and query data across multiple database types (PostgreSQL, MySQL, SQL Server, BigQuery, etc.) through a standardized interface. Built with Python using the Legion Query Runner library, it exposes database operations as MCP tools and resources, allowing natural language interactions with databases for executing queries, retrieving schemas, and optimizing SQL statements. The implementation features flexible configuration options and maintains query history for context, making it particularly valuable for data analysis, business intelligence, and database exploration use cases where AI assistants need direct, controlled access to structured data.
まだレビューはありません. 最初のレビューを投稿しましょう！
会話に参加するにはサインインしてください
Highlight AIExecute a SQL query and return results as a markdown table. Requires db_id parameter to specify which database to use.
Execute a SQL query and return results as JSON. Requires db_id parameter to specify which database to use.
Get column names for a specific table. Requires db_id parameter to specify which database to use.
Get column types for a specific table. Requires db_id parameter to specify which database to use.
Get the recent query history.
List all available database connections.
Get detailed information about a database including schema. Requires db_id parameter to specify which database to use.
Find which database contains a specific table. Requires db_id parameter to specify which database to use.
Get detailed description of a table including column names and types. Requires db_id parameter to specify which database to use.
Get a sample of data from a table. Requires db_id parameter to specify which database to use.
Create an SQL query against the database.
Explain what a SQL query does.
Optimize a SQL query for better performance.
Help user select which database to use.
