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Alternatives to mcp-pionex

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to interact with the PocketOption trading platform via MCP, including balance checks, candle data, asset screening, and trade placement, with support for multi-agent coordination.
      24
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    • A
      license
      B
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      C
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      Provides a set of MCP tools to interact with the Bybit cryptocurrency exchange API, enabling market data queries, account management, trading operations, and futures grid strategy analysis via natural language.
      19
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI agents with access to Gate.io's cryptocurrency exchange for market data, trading, and account management, plus DEX, news, and research tools via multiple MCP endpoints.
      38
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI tools to execute trades and fetch market data across six crypto exchanges via natural language or API, with dual Telegram and MCP interfaces.
      2
      -
    • A
      license
      A
      quality
      F
      maintenance
      Enables AI assistants to interact with Bitget cryptocurrency exchange for spot and futures trading. Supports real-time market data, order management, account balances, leverage control, and position tracking with demo trading capabilities.
      17
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    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server connecting AI assistants to OKX exchange, enabling trading, market data, account management, and more via 150+ tools across 11 modules.
      423
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    TDQS

    A3.5/5.0

    Scored across 43 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose: market data, technical indicators, trading, dual investment, and bot management are all separated. Even similar tools like get_klines and get_klines_history are easily distinguishable by their limits and use cases, with no ambiguity between them.

    Naming Consistency5/5

    All 43 tools follow a consistent snake_case verb_noun pattern (get_, list_, prepare_, confirm_, cancel_, compute_, detect_, check_). The naming convention is uniform and predictable, making it easy for an agent to infer function from name.

    Tool Count2/5

    With 43 tools, the server exceeds the 25+ threshold for 'too many'. Although the broad scope (market data, indicators, trading, bots, dual products) justifies a large surface, the sheer number will likely overwhelm agents and increase selection overhead. This is well beyond the typical well-scoped 3-15 tool range.

    Completeness5/5

    The tool surface is comprehensive: it covers market data, technical analysis, order placement/cancellation, portfolio rebalancing, grid bot lifecycle, dual investment subscription/revoke, and account balances. The prepare/confirm pattern for risky actions is well-implemented, and there are no obvious dead ends or missing critical operations.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues