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Related Servers

Alternatives to CCXT MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      A Model Context Protocol server that enables LLMs to interact with cryptocurrency exchanges through CCXT, allowing for tasks like fetching balances, market data, creating orders, and trading operations in a standardized way.
      8
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      A Model Context Protocol server that enables AI assistants and applications to interact with decentralized exchanges (DEXs), allowing users to get quotes for token swaps and execute swap transactions.
      3
      12 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A Model Context Protocol (MCP) server for the Hyperliquid decentralized exchange, enabling AI assistants to perform trading operations, manage accounts, and retrieve market data.
      19 PyPI
      3
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that provides a standardized interface for AI models and applications to interact with the Luno cryptocurrency exchange API for trading operations.
      2
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      A server that provides real-time cryptocurrency data through the Model Context Protocol, allowing access to detailed exchange information and current cryptocurrency rates from the CoinCap API.
      13 npm
      1
      MIT

    TDQS

    B3.2/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between analyzeConsecutiveProfitLoss, analyzePeriodicReturns, analyzeTradingPerformance, and calculateWinRate, which all focus on performance analysis and could cause confusion. The remaining tools are clearly differentiated by their specific actions and targets.

    Naming Consistency4/5

    The naming is mostly consistent with a verb_noun pattern, using camelCase throughout. However, there are minor deviations: 'listAccounts' uses 'list' while others use 'fetch' or 'analyze', and 'calculateWinRate' uses 'calculate' instead of 'analyze' for similar analysis tasks, slightly breaking the pattern.

    Tool Count4/5

    With 20 tools, the count is on the higher side but reasonable for a cryptocurrency trading server that needs to cover account management, order handling, market data, and performance analysis. It feels slightly heavy but not excessive for the domain's complexity.

    Completeness5/5

    The tool set provides comprehensive coverage for cryptocurrency trading: it includes account listing and balance fetching, full order lifecycle (create, fetch, cancel, open/closed orders), market data (markets, tickers, trades, OHLCV, order book), deposit/withdrawal history, and performance analysis. No obvious gaps are present for core trading workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues