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jasperan

OraViz MCP

by jasperan

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    • F
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      Enables AI agents to connect to Oracle databases for schema exploration, PL/SQL source inspection, and read-only SQL queries, with optional write operations when explicitly enabled.
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    TDQS

    A3.9/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools target clearly distinct operations, but a few boundaries require careful reading: create_chart and execute_query both run SQL, and get_table_details and get_table_schema both describe table metadata. The descriptions clarify the outputs enough that an agent should usually pick correctly.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: execute_query, list_tables, get_table_schema, sample_table_data, get_table_details, profile_table, create_chart. The naming is predictable and uniform across the set.

    Tool Count5/5

    Seven tools is well-scoped for an Oracle exploration and visualization server. Each tool serves a distinct discovery or charting purpose without unnecessary bloat or missing core functionality.

    Completeness4/5

    The server covers the full exploration-to-visualization workflow: listing objects, inspecting schema, sampling data, profiling columns, running queries, and creating charts. Minor gaps exist, such as no table DDL viewer or chart configuration options, but an agent can accomplish the intended tasks without dead ends.