MSSQL MCP Server
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- FlicenseNot gradedqualityDmaintenanceProvides secure, read-only access to Microsoft SQL Server with multi-layer protection, enabling safe query execution, schema discovery, and SQL script analysis through natural language.1-
- FlicenseNot gradedqualityDmaintenanceEnables secure interaction with Microsoft SQL Server databases, allowing schema exploration, metadata retrieval, and read-only query execution through natural language.1-
- AlicenseAqualityBmaintenanceEnables interaction with Microsoft SQL Server and Azure SQL databases through natural language, supporting queries, schema exploration, stored procedures, and complete database operations with connection pooling and security features.143,162 npm13MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI clients to interact with Microsoft SQL Server databases through natural language, translating prompts into structured queries and returning clean results for AI-powered data access.-
- 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.3561 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables natural language querying of SQL databases using AI, supporting multiple database types and automatic schema discovery.1MIT
TDQS
Scored across 33 tools
Tools are generally distinct in purpose, but there are many analysis and listing tools (e.g., analyze_table_stats vs. describe_table vs. list_tables) that could cause confusion if descriptions are skimmed. However, each tool has a clear focus, so ambiguity is low.
All tools follow a consistent verb_noun pattern using snake_case (e.g., list_tables, analyze_index_usage, describe_table). No mixed conventions or irregular names.
33 tools is on the high side, but each serves a distinct purpose for database analysis and exploration. The scope is broad but justified; tools like analyze_* and list_* cover different aspects.
The toolset is heavily skewed toward read-only analysis (schema inspection, statistics, sample data). Missing DDL operations (create, alter, drop) and write operations, which are essential for full database management. Execution of arbitrary queries is disabled by default.