SQL Server MCP
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to securely interact with Microsoft SQL Server databases to query data, inspect schemas, and retrieve metadata with read-only operations by default and optional write capabilities.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Microsoft SQL Server databases through a standardized interface. Supports executing SQL queries, browsing database schemas, and viewing table data with flexible authentication options for both local and Azure SQL databases.6MIT
- AlicenseAqualityDmaintenanceEnables AI models to interact with MS SQL Server databases through a standardized interface. Supports executing SQL queries with parameters, listing tables, and describing table schemas.369 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to interact with Microsoft SQL Server databases via introspection and query tools. Supports single or multiple databases with read-only mode by default and an optional write capability.704 npm5MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with MSSQL databases through natural language, supporting CRUD operations and schema management.2,592 npmMIT
- AlicenseBqualityCmaintenanceEnables AI assistants to connect to Microsoft SQL Server for schema discovery, querying, stored procedures, DDL, performance diagnostics, and developer utilities with configurable security modes.3541 npmMIT
TDQS
Scored across 18 tools
Every tool has a clearly distinct purpose with no ambiguity. For example, call_stored_proc is for executing procedures while describe_stored_proc is for inspecting them, and read_rows is for reading data while execute_query is for running SELECT queries. The tools cover different aspects of SQL Server interaction without overlap.
All tools follow a consistent verb_noun naming pattern throughout. Examples include describe_table, list_tables, insert_row, update_row, and export_to_csv. The naming is predictable and follows the same convention across all 18 tools.
With 18 tools, the count is slightly high but reasonable for a comprehensive SQL Server interface. The tools cover connection management, CRUD operations, stored procedures, metadata inspection, and data export, which justifies the number. It's well-scoped but could potentially be streamlined.
The tool surface provides complete coverage for SQL Server interaction. It includes connection management (connect, disconnect, list_connections), database operations (list_databases, switch_database), table operations (full CRUD with insert_row, read_rows, update_row, delete_row), stored procedure handling, metadata inspection, query execution, validation, and data export. No obvious gaps exist for the domain.