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lucaluca-04

Hyperliquid MCP Updated

by lucaluca-04
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Python
Remote

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    • Hyperliquid MCP Server

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    • hl-read

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    • hyperliquid-mcp

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    • hyperliquid-info

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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

    C2.5/5.0

    Scored across 41 tools

    Disambiguation4/5

    Most tools target distinct data types, but several near-duplicates exist (e.g., hl_open_orders vs hl_frontend_open_orders; hl_user_fills vs hl_user_fills_by_time; hl_meta vs hl_meta_and_asset_ctxs). Descriptions help differentiate them, but an agent could still easily misselect between pairs that differ only in subtle scope or parameters.

    Naming Consistency5/5

    All tools consistently use the 'hl_' prefix with snake_case and descriptive noun phrases (e.g., hl_user_funding_history, hl_candles, hl_spot_meta). The naming pattern is highly predictable and uniform across all 41 tools.

    Tool Count3/5

    41 tools is a large surface, but it reflects the broad Hyperliquid API info endpoints. However, many tools are near variants of one another (meta, meta_and_asset_ctxs, user_fills variants), inflating the count and making navigation more difficult than necessary.

    Completeness2/5

    The toolset covers an extensive range of read-only query endpoints, but entirely lacks any write/trading tools (order placement, cancellation, transfers, staking actions). For a trading-focused server, this is a significant gap that would prevent agents from executing core workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources