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ProfitSpot MCP

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Python
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    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

    A4.2/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: analyze_pool provides deep pool analysis, calculate_impermanent_loss is a pure math calculator, defi_overview offers a dashboard view, discover_yields enables filtered discovery, risk_score assesses risk, simulate_profit runs Monte Carlo simulations, and track_whales monitors capital movements. The descriptions reinforce these unique functions, eliminating any ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case: analyze_pool, calculate_impermanent_loss, defi_overview, discover_yields, risk_score, simulate_profit, and track_whales. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.

    Tool Count5/5

    With 7 tools, the count is well-scoped for a DeFi analytics server, covering key areas like analysis, calculation, discovery, risk assessment, simulation, and monitoring. Each tool earns its place by addressing a specific aspect of DeFi yield optimization without redundancy or bloat.

    Completeness4/5

    The tool set provides comprehensive coverage for DeFi yield analysis, including analysis, risk scoring, simulation, and monitoring. Minor gaps exist, such as the lack of tools for managing positions (e.g., stake/unstake) or integrating with wallets, but core workflows for research and decision-making are fully supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources