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jira-xray-cloud-mcp

by netcare-io
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Python
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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

    B3.1/5.0

    Scored across 82 tools

    Disambiguation3/5

    Descriptions are generally precise, but the large surface creates several close pairs and groups: get_test/get_tests/get_expanded_test, get_test_run/get_test_runs, and the multiple test-run update variants. These boundaries are mostly explained, yet an agent can still misselect among similar read/update operations.

    Naming Consistency5/5

    Tool names follow a highly consistent xray_verb_noun pattern across the entire set, including create_, get_, add_, remove_, update_, import_, and export_ actions. The convention is predictable and readable throughout.

    Tool Count1/5

    At 82 tools, the set is far beyond a practical MCP surface and hits the extreme-mismatch threshold. Even for a broad domain like Xray test management, this volume makes discovery, selection, and maintenance unnecessarily difficult.

    Completeness5/5

    The surface covers the full Xray lifecycle: tests, preconditions, test sets, plans, executions, runs, folders, coverage, imports/exports, attachments, history, settings, and GraphQL escape hatches. There are no obvious dead ends for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources