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Avanti Fellows PostgreSQL MCP Server

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by avantifellows
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: count_rows counts rows, describe_table provides schema details, list_tables enumerates tables, query executes SQL, sample_data retrieves sample rows, and search_columns finds columns by name. The descriptions reinforce these unique functions, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case, such as count_rows, describe_table, list_tables, query, sample_data, and search_columns. This uniformity makes the tool set predictable and easy to navigate for an agent.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a PostgreSQL exploration and querying purpose. Each tool earns its place by covering essential database operations like discovery, inspection, and data retrieval without being overly complex or sparse.

    Completeness4/5

    The tool set provides strong coverage for exploring and querying a PostgreSQL database, including discovery (list_tables, search_columns), inspection (describe_table), and data retrieval (count_rows, sample_data, query). A minor gap is the lack of write operations (e.g., insert, update, delete), but this aligns with a read-only focus, and agents can work around it for analysis tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources