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Mindjack

by freyotrisolana
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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

    A3.9/5.0

    Scored across 26 tools

    Disambiguation4/5

    Most tools have clearly differentiated roles, and descriptions cross-reference each other explicitly (verdict vs. holder counts vs. named wallets vs. graph; wallet history vs. network vs. KOL record). The main ambiguity comes from exact duplicate aliases like search/search_tokens and fetch/token_report, plus close neighbors like token_identity and token_web, though these are documented.

    Naming Consistency4/5

    All names use snake_case and recognizable prefixes like token_, wallet_, kol_, find_, search_, and get_, so the set is readable and predictable. The pattern is weakened by object-first names like token_report and token_wallets sitting alongside verb-first names like check_token and find_tokens, and by the standalone aliases search and fetch.

    Tool Count2/5

    26 tools is above the 25-tool threshold and the count is inflated by duplicate ChatGPT aliases plus many fine-grained variants covering closely related territory (inspect_token/token_wallets/token_graph, check_wallet/wallet_network/kol_record). A consolidated set of 15-18 tools would serve the same purpose with less surface area.

    Completeness4/5

    The tool surface covers the core token-intelligence workflow well: danger screening, holder and wallet forensics, exit viability, identity tracing, token discovery, KOL/funder tracking, and cohort analytics. Minor gaps exist—no dedicated live price/metadata call, no pre-analysis price history, and no general token-level transaction feed—but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources