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Debanjan29

mcp-sqlserver

by Debanjan29

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    • 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
    • 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
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to connect to Microsoft SQL Server via the MCP protocol, supporting database schema queries, data reading, and arbitrary SQL execution.
      -
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI agents to securely connect to and query Microsoft SQL Server databases with read-only access, schema discovery, and relationship mapping. Features advanced security protections, health monitoring, and bulk operations for production environments.
      9
      54 npm
      MIT

    TDQS

    B3.4/5.0

    Scored across 35 tools

    Disambiguation4/5

    Most tools target a distinct resource/action (e.g., list_tables vs describe_table vs get_indexes), and performance monitoring tools are separated by clear DMV-based descriptions. However, execute_query, export_query, and sample_table all execute or return query results, so an agent could sometimes confuse which one to use.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern, such as list_tables, get_indexes, describe_procedure, and compare_schemas. There is no mixing of naming conventions or vague generic verbs.

    Tool Count2/5

    With 35 tools, the surface is well beyond the typical well-scoped range and falls into the 25+ too-many category. While tools cover distinct areas, several could be consolidated or grouped into parameterized tools to reduce cognitive load.

    Completeness4/5

    The toolkit provides broad read-only coverage of SQL Server metadata, querying, schema generation, and performance monitoring, with no major dead ends for that scope. Missing write/DDL tools and user/permission introspection are notable but appear outside this server's read-only intent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues