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Data Nexus MCP

Data Nexus MCP

by HumanSamadian
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    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

    B3/5.0

    Scored across 5 tools

    Disambiguation4/5

    Tools are mostly distinct: query_database and execute_sql both run queries but one is parameterized and the other raw; get_schema, list_tables, describe_table each target different metadata. Minor potential for confusion between the two query tools, but descriptions clarify the difference.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores: query_database, get_schema, list_tables, describe_table, execute_sql. No mixed conventions or irregularities.

    Tool Count5/5

    5 tools are well-scoped for a database MCP server. The set covers core operations—querying, schema retrieval, table listing, structure description, raw execution—without being overwhelming or too sparse.

    Completeness4/5

    The tool surface covers essential query and schema exploration operations. The execute_sql tool can handle DDL, but there are no dedicated create/alter/drop tools; transaction commands are also missing. Overall, it's nearly complete for a typical read-heavy interaction pattern.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources