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Oracle MCP Server

by smith-nathanh
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.5/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity: describe_table focuses on table structure, execute_query runs queries, explain_query analyzes performance, export_query_results handles output formatting, generate_sample_queries creates examples, list_procedures lists procedures/functions/packages, list_tables lists tables, and list_views lists views. The descriptions make it easy for an agent to differentiate between them.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case throughout: describe_table, execute_query, explain_query, export_query_results, generate_sample_queries, list_procedures, list_tables, and list_views. This predictable naming scheme makes the tool set easy to navigate and understand.

    Tool Count5/5

    With 8 tools, the server is well-scoped for database interaction and exploration. Each tool earns its place by covering distinct aspects like query execution, metadata listing, analysis, and export, without being overly sparse or bloated. This count aligns well with the server's purpose of providing safe Oracle database access.

    Completeness4/5

    The tool set covers core database exploration and query tasks effectively, including listing resources, describing structures, executing and analyzing queries, and exporting results. A minor gap exists in the lack of tools for modifying data or schema (e.g., INSERT, UPDATE, CREATE TABLE), but this is likely intentional for safety, and agents can still perform read-only operations and analysis without dead ends.

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