Skip to main content
Glama
mukul8896

trading-mcp-server

by mukul8896

Related Servers

Alternatives to trading-mcp-server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.
      MIT
    • A
      license
      C
      quality
      D
      maintenance
      Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.
      31
      5
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Provides AI agents with a TradingView-centric toolkit for screener queries, historical FX data, pattern scanning, chart rendering, backtesting, Pine tooling, and optional account/desktop integration.
      6
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to perform market analysis through typed access to deterministic market data, technical indicators, backtesting, and position sizing via the Model Context Protocol.
      5
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to perform cryptocurrency trading analysis and execution with 38+ tools including real-time market data, technical indicators, risk management, and support for both paper trading and live execution on Hyperliquid.
      7
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to propose stock, ETF, and crypto trades through Alpaca paper trading while enforcing deterministic policy rules and recording every decision in an audit trail.
      6 npm
      MIT

    TDQS

    B3.1/5.0

    Scored across 63 tools

    Disambiguation3/5

    Many tools serve similar purposes (e.g., multiple news/sentiment tools, multiple validation tools), which could cause an agent to select the wrong one. However, descriptions provide some clarifying context, and core distinctions exist between paper/live modes and different analysis types.

    Naming Consistency4/5

    Tool names predominantly follow a verb_noun pattern (e.g., calculate_ema, fetch_live_price). Minor deviations like block_delivery_sell_order and prepare_order break the pattern slightly, but overall consistency is high.

    Tool Count3/5

    63 tools is high for a trading server. While many are necessary (indicators, risk checks, orders, news), some could be consolidated (e.g., indicators into a single snapshot tool, which already exists as get_indicator_snapshot). The count feels bloated but still manageable.

    Completeness4/5

    The tool surface covers paper trading, live trading, risk validation, indicators, news, backtesting, and integrations. Notable gaps include direct order modification, full live order history, and more granular order status. However, core workflows are well-supported.

    Maintenance

    ActivityStale
    ResponsivenessNo issues