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solanaprox

solanaprox-mcp

by solanaprox
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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

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: ask_ai for AI inference, check_balance for wallet status, estimate_cost for pre-request pricing, and list_models for model information. The descriptions reinforce these distinct roles, making tool selection unambiguous.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (ask_ai, check_balance, estimate_cost, list_models) with clear, descriptive names. There are no deviations in style or convention, making the set predictable and easy to understand.

    Tool Count4/5

    Four tools are well-scoped for a server focused on AI inference via SolanaProx, covering core operations like making requests, checking balances, estimating costs, and listing models. It feels slightly thin but reasonable, as it handles the essential workflow without unnecessary complexity.

    Completeness4/5

    The toolset covers the key aspects of using SolanaProx for AI tasks: making requests, managing costs, and accessing model info. A minor gap exists in lacking tools for transaction history or detailed billing, but agents can work around this with the provided tools for most use cases.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources