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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude and other MCP clients to map a SQLite database's schema and run read-only SQL queries against it, with writes blocked at the SQLite level through multiple enforcement layers. Results come back as context-friendly Markdown tables with row caps and a query timeout.
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to read-only query a SQLite database, inspect schema and table summaries, and execute SELECT queries with pagination through MCP.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to safely explore and query a SQLite database through natural language, including listing tables, inspecting schemas, and running read-only SELECT queries.
      1,554 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Lets Claude Desktop, Claude Code, and other MCP clients map the structure of a SQLite database and run read-only SQL queries against it, returning compact Markdown results. Multi-layered protections make any write impossible, so a database can be explored without reviewing each query first.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables read-only querying of a local SQLite database via MCP, with tools to list tables, retrieve schema, and execute SELECT/WITH/EXPLAIN queries.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables natural language querying of SQLite databases through a secure MCP server that writes, runs, and explains SQL with a three-layer read-only guarantee.
      MIT

    TDQS

    A4.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: ask_database handles natural language queries, run_sql executes direct SQL, and describe_schema exposes metadata. Even though ask_database and run_sql both query data, their interaction modes are different and descriptions make the boundaries explicit.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: ask_database, run_sql, describe_schema. This makes the naming predictable and easy to extend.

    Tool Count5/5

    Three tools is a compact, well-scoped set for a database query assistant. Each tool serves a necessary role—schema discovery, natural language querying, and direct SQL access—without redundancy or bloat.

    Completeness5/5

    For its stated read-only querying purpose, the tool surface is complete: describe_schema enables understanding the data, ask_database handles plain-language questions, and run_sql provides raw querying capability. No obvious dead ends or missing operations exist within this scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues