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Gradle MCP Server

by jermeyyy
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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

    A3.9/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a distinct purpose with clear boundaries: clean removes artifacts, daemon_status monitors daemons, get_gradle_config retrieves configuration, list_projects enumerates projects, list_project_tasks shows available tasks, run_task executes tasks, and stop_daemon terminates daemons. There is no overlap or ambiguity between these functions.

    Naming Consistency4/5

    Tools follow a consistent verb_noun pattern (e.g., clean, daemon_status, get_gradle_config, list_projects, list_project_tasks, run_task, stop_daemon), with all using snake_case. The minor deviation is 'get_gradle_config' using 'get_' prefix while others like 'list_' or 'run_' use different verbs, but overall naming is predictable and readable.

    Tool Count5/5

    With 7 tools, the server is well-scoped for Gradle project management. It covers essential operations like cleaning, task execution, project listing, configuration retrieval, and daemon control, without being overly sparse or bloated. Each tool serves a clear purpose in the domain.

    Completeness4/5

    The toolset provides comprehensive coverage for core Gradle workflows, including project discovery, task management, execution, and daemon handling. A minor gap is the lack of tools for modifying configuration (e.g., updating gradle.properties) or advanced operations like dependency management, but agents can work around this with existing tools for most common tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources