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Qlik Sense MCP Server

by bintocher
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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

    A3.5/5.0

    Scored across 10 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose targeting specific Qlik Sense resources like apps, fields, objects, sheets, variables, or hypercubes, with no overlap in functionality. The descriptions reinforce this by detailing unique operations such as retrieving field statistics versus field values, ensuring agents can easily differentiate between tools.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with 'get_' or 'engine_' prefixes, using snake_case uniformly (e.g., get_app_details, get_app_field, engine_create_hypercube). This predictability makes the tool set easy to navigate and understand at a glance.

    Tool Count5/5

    With 10 tools, the server is well-scoped for interacting with Qlik Sense applications, covering essential operations like listing apps, retrieving details, fields, objects, sheets, variables, scripts, and creating hypercubes. Each tool serves a distinct role without redundancy, fitting the domain appropriately.

    Completeness4/5

    The tool set provides comprehensive read and analysis capabilities for Qlik Sense apps, including data retrieval, statistics, and hypercube creation, but lacks write operations (e.g., updating or deleting apps, fields, or objects). This minor gap may limit agents in full lifecycle management but supports core query and analysis workflows effectively.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources