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Use natural-language prompts to inspect SQL Server schemas and perform CRUD operations via MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SQL Server MCP Server" yet — see the docs or source repo.
Use the SQL Server MCP Server to list all tables in the current database, then show the customers table columns, data types, and primary key details.
Returns the table list and detailed schema information for the customers table, including column definitions and primary keys.
Use the SQL Server MCP Server to count orders by product line for the last 30 days and return a summary table ready for a weekly report.
Produces grouped order counts by product line with total rows and date range, suitable for direct report use.
Use the SQL Server MCP Server to update products where stock is 0, set status to discontinued, and return the number of affected rows.
Returns the number of rows affected by the update, confirming the operation applied to the matched products.
Developers can quickly validate tables and columns when integrating a SQL Server source, reducing manual documentation lookup before coding APIs.
Analysts can issue natural-language requests to get counts, filters, and summaries from SQL Server for daily reporting and verification.
Operations staff or DB operators can perform conditional updates or deletions to fix abnormal records and verify the result.
It is an MCP server for Microsoft SQL Server that provides schema inspection and CRUD capabilities, with natural-language interaction through tools and resources.
The provided information does not include connection parameters, credential format, or runtime requirements. Check the source repository for setup details.
This tool exposes schema inspection and CRUD as MCP tools/resources, making it convenient for natural-language calls in AI workflows; specific compatibility and permission details should be checked in the source repository.
Query SQL Server databases with natural language through Claude.
Query SQL Server databases, search tables, and inspect table info.
Securely inspect and query SQL Server databases for analysis and troubleshooting.
Securely connect AI assistants to SQL Server for queries, analysis, and admin tasks.
Query and manage Microsoft SQL Server databases with natural language.
Connect AI to Microsoft SQL Server for schema queries and CRUD operations.