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Antigravity GLM MCP

by coreline-ai
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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

    C2.7/5.0

    Scored across 25 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'glm_cmd' (delegating to GLM) and 'glm_bypass' (raw prompt) could confuse an agent. Also, multiple log-related tools (glm_action_log, glm_git_log) are separate but might be misinterpreted without careful reading.

    Naming Consistency5/5

    All tools follow a consistent 'glm_<domain>_<action>' pattern (e.g., glm_file_create, glm_git_commit). This makes the tool set predictable and easy to navigate.

    Tool Count3/5

    With 25 tools, the server is on the heavy side for a general-purpose assistant. While each tool serves a purpose, the count is borderline and could be streamlined by merging some functions (e.g., memory operations).

    Completeness4/5

    The tool surface covers a wide range: file operations, git, memory, code execution, web search, HTTP, image analysis, shell, scheduling, and DB queries. Minor gaps exist (e.g., no file rename or explicit memory update), but overall it's quite comprehensive for an AI assistant.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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