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orcalayer-mcp

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by orcalayer
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Python
Remote

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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

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a clearly distinct slice of the domain: ranking whales, summarizing a wallet, listing positions, searching markets, reading market consensus, and streaming whale trades. Even the two wallet-focused tools are cleanly separated by performance summary versus open positions.

    Naming Consistency5/5

    All tool names follow the same lowercase snake_case noun-phrase pattern, e.g. wallet_overview, wallet_positions, market_consensus, whale_alerts. There is no mixing of verb styles or casing conventions, so an agent can predict related tool names.

    Tool Count5/5

    Six tools is a well-scoped size for a Polymarket smart-money analytics server. Each tool covers a meaningful capability without redundancy, and the count is comfortably within the ideal range.

    Completeness4/5

    The set covers the core analytics workflow: discovering top whales, inspecting a wallet, seeing current positions, finding markets with whale activity, checking consensus on a single market, and following live whale trades. A minor gap is the lack of a wallet-level historical trade or a per-market price history tool, but agents can work around those with the provided surface.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources