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qualityMCP to access any database accessible via JDBC such as Postgres, Oracle, mysql, mariadb, sqlite etc.
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Apache 2.0
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Why this server?
This server allows you to access any database accessible via JDBC, which includes SQL Server. It is likely to support importing data, though the tool descriptions does not explicitly mention excel, it enables database interaction.
Why this server?
This server is designed for Microsoft SQL Server and provides business intelligence capabilities. While it doesn't explicitly state excel import, its focus on business data suggests it could be used for data loading tasks.
Why this server?
Enables secure read and write operations to MySQL databases through LLM-driven interfaces. Since MySQL and SQL Server share common SQL language features, this could be adapted for SQL Server after importing excel to MySQL.
Why this server?
Provides Excel file manipulation capabilities, which might be used to prepare data before importing to SQL Server. While it doesn't mention SQL server directly, it can handle the excel part of the request.
Why this server?
A natural language interface to execute SQL queries on local MySQL databases. Although it's for MySQL, the general querying and database exploration concepts are relevant to SQL Server.
Why this server?
Connects Claude Desktop directly to databases, allowing exploration of database structures, writing SQL queries, analyzing datasets, and creating reports. It might support SQL Server and could be useful in defining SQL commands to load the data.
Why this server?
Enables secure interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.
Why this server?
Enables AI assistants to manage Xano databases, create, modify, and delete tables, edit schemas, and extract API documentation which could be relevant for managing a sql server database after excel data is converted.
Why this server?
Enables interaction with a MySQL database via JSON commands, supporting read-only queries, test execution of write queries, and table information retrieval through Docker - could assist in setting up a mysql database to import data before transferring to SQL Server.
Why this server?
An easy-to-use bridge that lets AI assistants directly query and explore Microsoft SQL Server databases.