Skip to main content
Glama

Related Servers

Alternatives to dbprint

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Exposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.
      4
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to explore and query approved portions of local SQLite snapshots through denylist-free, policy-restricted typed MCP tools, including schema inspection, safe SELECT queries, table statistics, and schema-fingerprint verification. Sanitizes unmasked outputs and denies undeclared tables and sensitive columns so disclosures stay limited even during advanced queries.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Read-only-by-default MySQL/MariaDB, PostgreSQL and SQLite access for AI agents: explore schemas and foreign keys, search, sample, query and EXPLAIN with token-efficient TOON output. Writes only when enabled, always previewed and atomic.
      11
      165 PyPI
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Exposes a SQLite database to AI assistants with structured, read-safe access. Includes five tools for schema exploration, querying, and sampling data.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search, filter, and explore a local offline catalog of tools from awesome lists, including finding underrated tools, explaining ranking provenance, listing curator lists, and inspecting catalog facets. All access is read-only over local SQLite with no network calls or API keys.
      MIT

    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool has a distinct primary purpose (read one table, list tables, search columns, resolve a value, index, diff, spec lookup), and descriptions explicitly cross-reference each other to steer selection. There is minor residual overlap between list_tables and get_manifest (both expose table index info) and between get_table_context and get_manifest, but the descriptions clearly delineate the boundaries.

    Naming Consistency5/5

    All seven tools follow a clean verb_noun snake_case pattern: get_table_context, list_tables, search_columns, resolve_value, get_manifest, get_diff, get_reference. Consistent convention throughout.

    Tool Count5/5

    Seven tools is well-scoped for a database-context/print-reading server, and each tool maps to a distinct capability rather than a redundant variant.

    Completeness4/5

    The surface covers discovery (list_tables, search_columns), inspection (get_table_context), value resolution (resolve_value), raw index (get_manifest), change tracking (get_diff), and spec docs (get_reference). For a read-only context server this is near-complete; only tangential gaps like listing/selecting connections or refreshing prints are absent, both reasonably out of scope.