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cameronfairbairn

productive-mcp

by cameronfairbairn
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Python
Hybrid

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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

    A4/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: searching people, searching projects, listing/creating/updating/deleting time entries, reporting hours, managing cache, etc. No two tools appear to do the same thing.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case (e.g., productive_list_time_entries, productive_log_time). Even 'my_briefing' and 'my_projects' fit the pattern as personal retrieval operations.

    Tool Count5/5

    14 tools is an appropriate number for a time-tracking MCP server, covering core operations without being overwhelming. Each tool serves a necessary function.

    Completeness4/5

    The tool set covers CRUD for time entries, project and person search, reporting, and cache management. Minor gaps exist (e.g., no direct 'get project details' tool, but list_projects provides adequate info).

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources