A Model Context Protocol (MCP) implementation for connecting to and working with various database systems, serving as a versatile MCP server.
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Universal database MCP server supporting multiple database types (PostgreSQL, MySQL, Oracle, etc.), ideal for heterogeneous MCP environments.
An MCP server integrating with Airtable to enable CRUD operations on records within code editors, showcasing a practical database MCP server implementation.
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The official MCP bridge for Google BigQuery, enabling petabyte-scale analytics and integration with other MCP servers for advanced querying and automation.
A unified MCP server interface for connecting to multiple databases (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server), supporting connection management, query execution, and schema manipulation.
An all-in-one MCP service that allows AI-powered data analysis by connecting to multiple types of databases (sqlite, mysql, postgres, etc.) within a single, unified configuration, making it a comprehensive MCP server solution.
A Model Context Protocol (MCP) implementation for connecting to and working with various database systems, serving as a versatile MCP server.
--port option--stdio optionconnect-database: Connect to a database (parameters for SQLite, PostgreSQL, SQL Server, MongoDB)disconnect-database: Disconnect from a databaseexecute-query: Execute queries that return results (works with SQL and MongoDB)execute-update: Execute queries that do not return results (e.g., INSERT, UPDATE, DELETE; works with SQL and MongoDB)Database Schema: Returns schema info for all tables and columnsTable Schema: Returns schema info for a specific tableTables List: Returns a list of all tables in the databaseNo pricing information provided; the project is open source under the MIT license.