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HackScout MCP

HackScout MCP

by Ash-Blanc
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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

    B3.4/5.0

    Scored across 28 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but there are a few overlapping clusters (e.g., analyze_project vs derive_project_profile, refresh_gallery_state vs extract_public_submissions). Descriptions are detailed enough to disambiguate, though the high number of tools increases the chance of misselection.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., search_hackathons, get_hackathon_details, run_scout_agent). There are no camelCase or mixed conventions, making the naming predictable and readable.

    Tool Count2/5

    With 28 tools, the server exceeds the 25-tool threshold for 'too many.' While the domain is broad, several tools could be consolidated (e.g., discover_public_gallery + extract_public_submissions, watch_hackathon + refresh_gallery_state). The count feels heavy and may overwhelm agents.

    Completeness5/5

    The tool surface is remarkably complete for hackathon scouting: it covers discovery, verification, ingestion, project analysis, fit scoring, ranking, competitor intelligence, winner playbooks, agent coordination, and watchlist monitoring. No obvious dead ends or missing core operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources