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kiranmaya

AI CLI MCP Server

by kiranmaya

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    • A
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      A
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      Enables Codex users to delegate engineering, refactoring, auditing, and test execution tasks to Google Antigravity CLI as a persistent autonomous subagent, with tools for managing sessions and running prompts.
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    • A
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      Enables a primary agent in Antigravity IDE to delegate coding tasks to background subagents across multiple model backends, with crash recovery, process cleanup, and human-in-the-loop approval for destructive actions.
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    • A
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      Multi-agent orchestration server that enables parallel task delegation, sequential pipelines, cron scheduling, and cross-model peer review via CLI providers like Codex, Antigravity, OpenCode, and Claude Code.
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    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation4/5

    The two run tools and two review tools are intentionally parallel but clearly distinguished by vendor (Codex vs. Antigravity), and cli_status/get_agent_skills are wholly distinct. The main confusion risk is between codex_run and antigravity_run, but descriptions make the target CLI explicit.

    Naming Consistency4/5

    The core tools follow a consistent vendor_action pattern (codex_run, antigravity_run, codex_review, antigravity_review). cli_status and get_agent_skills break the pattern slightly, but they are also different kinds of operations and the names remain readable and predictable.

    Tool Count5/5

    Six tools is a well-scoped set for a server that wraps two external CLI agents. Each tool covers a distinct operational need: execute, review, status check, and usage guidance.

    Completeness4/5

    The server covers the primary workflows one would expect: running and reviewing with both Codex and Antigravity, plus environment status and skill guidance. Minor gaps like model listing or installation tooling exist, but agents can work around them.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues