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Schwab MCP Server

by acidsolution
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Python
Hybrid

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    Deploy Server
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    TDQS

    A3.6/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between get_quote and get_quotes, which could cause confusion as they differ only in handling single vs. multiple symbols. The load_* tools and query_market_data are clearly differentiated by their data loading vs. querying roles, and other tools like get_positions and get_movers target unique functions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as get_instruments, load_option_chain, and query_market_data. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.

    Tool Count5/5

    With 9 tools, the server is well-scoped for market data and trading analysis, covering key areas like quotes, positions, movers, instruments, and SQL-based data handling. Each tool serves a clear purpose without redundancy, making the count appropriate for the domain.

    Completeness4/5

    The tool set provides strong coverage for market data retrieval and analysis, including real-time quotes, historical data, options, and positions. A minor gap exists in the lack of tools for executing trades or managing orders, which might be expected in a trading context, but the available tools support comprehensive data workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources