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MCP MS SQL Server

by techybolek

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables 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.
      6
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to interact with Microsoft SQL Server databases through query execution, schema discovery, CRUD operations, stored procedures, and data export with built-in safety controls.
      18
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables 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 npm
      5
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables 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.
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides direct SQL query access to Microsoft SQL Server databases with full CRUD operations, enabling AI assistants to execute queries, modify data, and manage database objects through a simplified interface.
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to interact with Microsoft SQL Server databases via MCP, supporting table listing, schema retrieval, and CRUD operations.
      3
      1
      MIT

    TDQS

    A3.5/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: listing tables, describing a table's schema, and executing arbitrary SQL queries. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: list_tables, describe_table, execute_sql_query. No deviations.

    Tool Count5/5

    Three tools is minimal but well-scoped for a simple database interface covering exploration and querying. It avoids unnecessary complexity.

    Completeness3/5

    The set lacks explicit tools for DDL (create/alter/drop), DML (insert/update/delete), or transaction control, but the execute_sql_query tool can compensate. Notable gaps exist but are workable.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues