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MCP Predictive Market

by EricGrill
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity. For example, 'browse_category' focuses on category-specific browsing, 'search_markets' handles cross-platform search, and 'get_market_odds' retrieves specific market data, ensuring agents can easily differentiate between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as 'browse_category', 'compare_platforms', and 'track_market'. This uniformity makes the tool set predictable and easy to navigate for agents.

    Tool Count5/5

    With 8 tools, the server is well-scoped for predictive market analysis, covering key operations like browsing, searching, comparing, and tracking. Each tool earns its place without feeling excessive or insufficient for the domain.

    Completeness4/5

    The tool set provides strong coverage for core workflows, including market discovery, comparison, and tracking. A minor gap exists in direct market interaction tools, such as placing bets or managing user accounts, but agents can still perform essential analysis tasks effectively.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources