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ATAS MCP Bridge

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to connect to MetaTrader 5 for trading, market data access, and account management through the Model Context Protocol.
      91 PyPI
      219
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes a unified AI interface to MetaTrader 5 over the Model Context Protocol, enabling live quotes, historical data, technical indicators, order execution, position management, and headless backtests.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with the MetaTrader 5 trading platform for market data analysis, placing trades, and managing trading positions. Provides comprehensive access to forex and financial market operations through the Model Context Protocol.
      1
      -
    • 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
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to interact with Interactive Brokers through 48 tools for market data, orders, account management, and more, via the MCP protocol.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants in MCP clients to query real-time market data, inspect portfolio and Web3 wallet balances across brokers, place protected equity/ETF, crypto, forex, options, DeFi swap, and prediction market orders, and run backtests.
      MIT

    TDQS

    A4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool addresses a single, well-defined aspect: market data (quote, DOM, candles), account state (position, orders, trades), actions (place, cancel, close), and diagnostics (log, status). The aggregate snapshot overlaps by design but is explicitly presented as a convenience for full context. No two tools appear to perform the same function.

    Naming Consistency5/5

    All tools share the 'atas_' prefix and use a consistent convention: noun-style names for data retrieval (quote, dom, position) and imperative verb_noun names for mutations (place_order, cancel_order, close_position). This read/write distinction makes the toolset predictable and easy to navigate. Minor variation like 'bridge_log' as a compound noun does not create confusion.

    Tool Count5/5

    Twelve tools is well within the ideal range for a trading bridge application. Each tool serves a distinct purpose and the set feels neither bloated nor sparse. The inclusion of an aggregate snapshot is justified as a convenience for agents needing full state in one call.

    Completeness4/5

    The toolset covers the essential lifecycle: read market data, inspect position/orders/trades, place and cancel orders, and close positions. It lacks a dedicated order modification operation, but agents can cancel and re-place orders as a workaround. Basic connection diagnostics and status are also included, making the surface practical for automated trading.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues