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Nice-Wolf-Studio

DataBento MCP Server

by Nice-Wolf-Studio
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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

    A3.6/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool has a distinct purpose, with clear separation between batch job management, metadata queries, reference data, symbology, and timeseries retrieval. No overlapping functions are evident.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern with domain prefixes (batch_, metadata_, reference_, symbology_, timeseries_). The verbs (get, list, search, resolve) are appropriate and uniform within their groups.

    Tool Count5/5

    With 17 tools, the server covers batch operations, metadata exploration, reference data, symbology, and timeseries queries—an appropriate scope for a data access server without being excessive or insufficient.

    Completeness4/5

    The tool set covers core workflows: batch job lifecycle (submit, list, download), metadata discovery, reference data, and data retrieval. Minor gaps include lack of a job cancellation tool and individual job status endpoint, but the overall surface is well-rounded.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources