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Alternatives to pathiel

  • A
    license
    A
    quality
    D
    maintenance
    Enables interaction with the Hyperliquid exchange to trade perpetuals, check positions, and manage risk through natural language. It provides tools for fetching real-time market data, tracking portfolio value, and executing orders with a focus on safety through default paper trading.
    10
    1
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables Claude Desktop to interact with Hyperliquid DEX for trading perpetual futures using natural language, supporting 27 tools across trading, account management, market data analysis, and real-time WebSocket subscriptions.
    36
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables natural language trading of Hyperliquid perpetual futures, including portfolio checks, market data, order placement with confirmation, and position management.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables Claude to pull multi-timeframe Binance kline data, compute Wyckoff/VSA/GANN context, manage trading rules and journals, and optionally reconcile real positions, fills, and PnL from read-only Binance, Bybit, or OKX accounts.
    1
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to securely trade on Hyperliquid perpetual exchange, including order placement, position management, market data retrieval, and vault operations via natural language.
    23 PyPI
    24
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides Claude with market data, a research brain, one-second backtests, and tools to create and monitor BTC/ETH trading agents that execute on the user's own Papertrade account. Each agent runs on its own wallet with enforced leverage, capital, and loss limits.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables Claude to manage algorithmic trading workflows via natural language — maintaining watchlists, classifying market regimes, validating trades against risk rules, and submitting paper orders through a gateway to a FastAPI engine.
    -

TDQS

A4.4/5.0

Scored across 30 tools

Disambiguation4/5

Almost every tool targets a distinct resource/action pair (market snapshot, candles, book, positions, orders, history, desk brief, pool status), and descriptions explicitly cross-reference siblings to steer selection (e.g. get_market vs list_markets vs get_candles). The few adjacent pairs — size_trade vs place_bracket, set_stop/set_target vs sweep_brackets, cancel_order vs sweep_brackets — are clearly separated by the text, though the sheer density leaves some residual risk of misselection.

Naming Consistency5/5

All 30 tools use a uniform snake_case verb_noun pattern (get_market, list_markets, set_stop, close_position, join_pool, submit_desk_call, update_config), with verbs drawn from a small consistent vocabulary (get/list/set/place/close/cancel/refresh/join/leave). No camelCase or stylistic mixing anywhere.

Tool Count3/5

30 tools is heavy for a single server, well above the comfortable 3-15 band, though the surface legitimately spans market data, account state, order lifecycle, desk research, pool membership and configuration. Each tool does seem to earn its place, but the count is large enough that discovery cost is real.

Completeness4/5

Coverage is strong: market data (snapshot, board, candles, depth, funding regime), account state (balances, positions, orders, fills/funding/transfers, risk limits), full trade lifecycle (size, bracket, move stop/target, leverage, close, cancel, sweep), plus desks, pool and config. Minor gaps exist by design rather than oversight — no partial closes, no order modification (only cancel), and no fund movement — which agents can work around.

Maintenance

ActivityActive
ResponsivenessLimited data