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meimingqi222

MCP Database Manager

by meimingqi222

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    • A
      license
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      quality
      A
      maintenance
      Enables AI agents to safely explore and query databases across SQLite, PostgreSQL, MySQL, and MSSQL, with schema introspection, natural language queries, and data profiling.
      MIT
    • A
      license
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      quality
      D
      maintenance
      Enables LLM agents to perform complete database operations on SQLite databases, including creating tables, executing queries, and managing data through CRUD operations with schema inspection capabilities.
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    • A
      license
      A
      quality
      A
      maintenance
      Enables LLMs to safely explore, query, diagnose, and modify relational databases through a unified set of schema introspection, SQL execution, and administration tools. Supports multiple database backends with AST-level read-only guards, automatic LIMIT injection, and explicit opt-in write permissions for DML and DDL.
      9
      1,602 PyPI
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables secure interaction with multiple SQL database engines (MySQL, PostgreSQL, SQLite, SQL Server) through a standardized interface. Supports schema inspection, safe query execution, and controlled write operations with built-in security restrictions.
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    TDQS

    A4.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: schema retrieval, connection listing, read-only queries, and write queries. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores: get_schema, list_connections, read_sql, write_sql. The pattern is predictable and easy to understand.

    Tool Count5/5

    With 4 tools covering essential database operations (schema inspection, connection management, read queries, write queries), the count is well-scoped for the server's purpose.

    Completeness4/5

    The tool set covers core database interactions: schema inspection, read/write operations, and connection management. Minor gaps like transaction control or query analysis tools might be missing, but the set is largely complete for basic usage.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues