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AceDataCloud

io.github.AceDataCloud/mcp-glm

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by AceDataCloud

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    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool serves a clearly distinct purpose: usage guidance, chat completion generation, and model listing. There is no overlap or ambiguity between them, so an agent would never struggle to choose the right one.

    Naming Consistency5/5

    All tool names use the same glm_ prefix and a consistent lower_snake_case style. The verb-noun pattern is uniform (get_usage_guide, chat_completions, list_models), making the set predictable and easy to navigate.

    Tool Count5/5

    Three tools is well-scoped for a focused GLM chat completions server. Each tool earns its place, and the set feels neither bloated nor too thin.

    Completeness4/5

    The server covers the core lifecycle of chat completion: listing models and making completions, plus an onboarding guide. It lacks endpoints for embeddings or model-specific detail, but those are likely outside the intended scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues