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MCP AI Prompts Management

by GleidsonFerSanP
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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

    B3.4/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but three retrieval tools (list_prompts, get_prompt_summary, get_prompt) overlap in returning prompt metadata versus content. The descriptions explicitly differentiate their use cases, which reduces confusion.

    Naming Consistency5/5

    All tool names follow a consistent snake_case convention with verb_noun or get_noun patterns. There is no mixing of styles or ambiguous prefixes.

    Tool Count5/5

    Twelve tools are well-scoped for a prompt management server that includes CRUD, metadata, context stats, and storage configuration. Each tool earns its place without redundancy.

    Completeness4/5

    Core CRUD operations for prompts are fully covered, along with category/tag listing and storage configuration. Minor gaps exist, such as no explicit sync operation for storage or bulk prompt operations, but these are workaroundable.

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