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Antigravity Codex MCP

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    • antigravity

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      A
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      C
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      Enables OpenAI Codex to delegate tasks to Google Antigravity CLI, running them headlessly and polling for results.
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    • codex-antigravity-mcp

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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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    • codex-subagent-mcp

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      license
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      quality
      A
      maintenance
      Enables Claude Code to delegate coding tasks—investigation, review, long-running background jobs, and optional file edits—to a locally installed OpenAI Codex CLI, with the model and reasoning effort chosen per task and read-only execution by default. Follow-up requests reuse Codex's existing context, and write-enabled delegations can be confined to a managed git worktree so the user's own checkout stays untouched.
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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

    A4/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: project lifecycle (enable, disable, status), session management (start, get active, sync, transcript), conversation actions (ask, continue, review), and execution (execute, get run). No two tools appear to perform the same function; even the conversation-related tools are differentiated by mode (read-only analysis, continuation, review).

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with the 'antigravity_' prefix (e.g., list_sessions, enable_project, get_transcript). The naming is uniform and predictable, making it easy for an agent to infer tool purpose from the name alone.

    Tool Count5/5

    15 tools is well-scoped for a server that manages AGY sessions, project configuration, transcripts, and executions. Each tool covers a distinct operational need without redundancy, and the count is within the ideal range for a feature-complete MCP server.

    Completeness5/5

    The tool surface covers the full lifecycle: project enable/disable/status, session creation and retrieval, transcript syncing and retrieval, conversation actions (ask, continue, review), and execution management (execute and get_run). No obvious gaps exist—both administrative and interactive workflows are supported.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources