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Async Parallel Antigravity for Codex & Claude Code

by varadfromeastversion 0.1.12i★ –iRuns on your computer
Registry nameio.github.varadfromeast/codex-agy-bridge

Install

Overview

Description from the maker (original English)

Run parallel, resumable, human-operable Antigravity CLI sessions from any MCP agent harness

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AGY_CMD

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "codex-agy-bridge": {
      "command": "uvx",
      "args": [
        "codex-agy-bridge"
      ],
      "env": {
        "AGY_CMD": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add codex-agy-bridge --env AGY_CMD=your-value -- uvx codex-agy-bridge

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "codex-agy-bridge": {
      "command": "uvx",
      "args": [
        "codex-agy-bridge"
      ],
      "env": {
        "AGY_CMD": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "codex-agy-bridge": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "codex-agy-bridge"
      ],
      "env": {
        "AGY_CMD": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AGY_CMD env
    Absolute path to the authenticated Antigravity CLI executable

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account varadfromeast, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32684 servers in this category
  • Published to the registry more recently than 44% of the other 32684 servers in this category
  • Basic checks equal to or better than 100% of the other 32684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Async Parallel Antigravity for Codex & Claude Code safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.12) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Master CSS

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Master CSS

by master-co

Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

codex-agy-bridge

Run Antigravity from an agent harness as durable, parallel, human-operable agy sessions over MCP.

codex-agy-bridge wraps the official Antigravity CLI with a resumable MCP control plane. Agent harnesses like Codex, Claude Desktop, or your own GPT/Claude-powered MCP client can start agy runs, wait on sparse events, attach a real terminal, send guarded input, cancel safely, continue exact conversations, and collect final results later by run_id.

Quick Install

Prerequisites:

  • Codex CLI for the command below, or another local stdio MCP-capable harness
  • The official Antigravity CLI (agy), already authenticated locally
  • uv / uvx
  • tmux and a supported terminal launcher:
# macOS

brew install tmux

Debian/Ubuntu Linux (x-terminal-emulator is also supported)

sudo apt install tmux gnome-terminal

Check the required commands:

codex --version

agy --version agy models uvx --version tmux -V

Day 0 Authentication

agy --version only proves the binary exists. Before adding the MCP server, run agy models; if Antigravity asks you to sign in or reports that you are not logged in, start a visible session and complete the browser/login flow:

agy --prompt-interactive "Authenticate Antigravity and then exit."

agy models

After agy models succeeds, install or restart the MCP server. If a bridge run still hits auth, agy_run_start returns status="auth_required" and opens a visible agy authentication session by default. Complete sign-in there, then start a fresh run. You can also use agy_run_observe(view="terminal") or agy_admin(action="doctor") to inspect the auth-required status.

Install from PyPI with the Codex CLI:

codex mcp add codex-agy-bridge \

--env AGY_CMD="$(command -v agy)" \ -- "$(command -v uvx)" codex-agy-bridge@latest

Restart the harness, then verify in Codex if you used the command above:

codex mcp get codex-agy-bridge

codex mcp list

Remove it with:

codex mcp remove codex-agy-bridge

For Claude Desktop or a custom MCP client, use the same stdio command shape: uvx codex-agy-bridge@latest with AGY_CMD set to the authenticated agy executable.

What Makes It Different

  • Parallel Antigravity sessions: launch multiple independent agy runs, each with its own durable state, logs, transcript projection, and result.
  • Human-operable terminals: foreground runs live in persistent tmux sessions, so Terminal.app can attach without killing the agent.
  • Resumable MCP control: MCP calls can time out, the harness can restart, and the run can still be observed later by run_id.
  • Goal orchestration: create a goal, start named targets with bounded parallelism, and inspect the whole batch as one coordinated effort.
  • Sparse wake events: agy_run_wait short-polls lifecycle, attention, progress, and terminal events without transcript-polling spam.
  • Guarded input: agy_run_input can reject stale writes when event or transcript cursors changed after the caller observed the run.
  • Trajectory-aware observability: bounded transcript summaries and terminal evidence are exposed without private model reasoning.
  • Operational hygiene: duplicate active starts are deduplicated, process groups are cancelled safely, and completed result artifacts are preserved.

Install Details

If You Are An Agent Reading This

Help the user install it; do not silently mutate their machine.

  1. Verify prerequisites first:
command -v codex

command -v agy command -v uvx command -v tmux agy --version agy models

  1. If anything is missing, ask before installing it.
  2. If agy models reports an auth error, help the user complete the Day 0 authentication flow above before adding the MCP server.
  3. Then run:
codex mcp add codex-agy-bridge \

--env AGY_CMD="$(command -v agy)" \ -- "$(command -v uvx)" codex-agy-bridge@latest

  1. Verify:
codex mcp get codex-agy-bridge

codex mcp list

  1. Tell the user to restart their agent harness so the new MCP tools load.
PyPI

The Quick Install command stores an stdio MCP server definition. When the agent harness starts the server, uvx resolves codex-agy-bridge@latest from PyPI, installs it into an isolated cached environment, and runs the codex-agy-bridge console script. AGY_CMD pins the bridge to the user's already-installed and authenticated agy executable.

Do not replace $ or $(...) manually in the command. In POSIX shells, $(command -v agy) and $(command -v uvx) expand to absolute executable paths.

GitHub

Use this when you want the repository version directly:

codex mcp add codex-agy-bridge \

--env AGY_CMD="$(command -v agy)" \ -- uvx --from git+https://github.com/varadfromeast/codex-agy-bridge \ codex-agy-bridge

Local Development
git clone https://github.com/varadfromeast/codex-agy-bridge.git

cd codex-agy-bridge uv sync --extra dev

codex mcp add codex-agy-bridge \ --env AGY_CMD="$(command -v agy)" \ -- uv --directory "$PWD" run codex-agy-bridge

How It Works

flowchart LR

H["Agent harness (Codex, Claude, custom MCP client)"] M["codex-agy-bridge MCP stdio server"] S["Durable control plane runs, goals, events, results"] W["Detached run supervisor"] A["Antigravity CLI agy"] T["Persistent tmux session human attach/input"] L["Local Antigravity trajectory files"]

H <-->|"MCP tools"| M M <--> S S --> W W --> A W <--> T A --> L W -->|"bounded transcript projection"| S T -->|"terminal logs and attention prompts"| S

The bridge keeps the MCP server responsive while detached supervisors own the long-running agy processes. State and events are persisted locally, so a run can continue after the original MCP call returns. For the deeper process model, see docs/ARCHITECTURE.md. For the MCP control-loop vision, see docs/MCP_VISION.md.

MCP Tools

ToolPurpose
agy_run_startStart, continue, or open an interactive foreground run
agy_run_waitShort-poll until selected runs emit sparse wake events
agy_run_observeRead full, status, transcript, or raw terminal views
agy_run_inputSend input with optional event/transcript preconditions
agy_run_cancelCancel one active run
agy_run_resultRead final result metadata or bounded result chunks
agy_goalCreate goals, start targets, and read aggregate status
agy_adminRead diagnostics, models, plugins, validation, and changelog

Omit model (or pass null) to let Agy choose its default: the bridge stores model: null and does not send --model. This applies to runs, review tools, and goals, whose targets inherit their goal's selection. Explicit selections are validated against agy models, including the bridge's former Gemini 3.5 Flash (Medium) default; unknown and empty selections are rejected. The bridge never substitutes the first catalog entry. agy_admin(action="models") reports default_model: null and default_model_source: "agy_cli"; this describes delegation, not an observed effective provider model.

Existing persisted runs and goals retain their model strings and remain readable. They are not silently migrated to a different model. New launches from an old goal revalidate its selection and reject it if it is no longer available; create a new goal with an available model or omit the selection to delegate to Agy. Previously reserved runs retain their original command policy. New delegated requests have distinct deduplication keys from explicitly selected models. Older bridge versions that require a string goal model cannot read new null-model goals; avoid downgrading with those goals in use.

Typical flow:

agy_run_start -> agy_run_wait -> agy_run_observe -> agy_run_result

In Codex MCP, tools may be exposed with the server prefix, for example codex_agy_bridge_agy_run_wait. Run responses include exact wait_call arguments; note that agy_run_wait always takes run_ids: ["..."], even for a single run. Supported wait conditions are any_attention, any_terminal, all_terminal, any_event, and aliases attention, terminal, finished, finish, complete, completed, result, all_finished, all_complete, and all_completed.

Use agy_goal when the harness should split work into named targets with a shared objective and bounded parallelism.

Configuration

VariableDefaultPurpose
AGY_CMDagy on PATHExact Antigravity executable
AGY_BRIDGE_STATE_DIR~/.local/state/codex-agy-bridgeDurable run and goal state
AGY_BRIDGE_AGY_ROOT~/.gemini/antigravity-cliAntigravity conversations and trajectories
AGY_BRIDGE_MAX_PARALLEL50Global concurrent-run limit
AGY_BRIDGE_COMPLETION_STABILITY_SECONDS150Time a final marker must remain stable
AGY_BRIDGE_MCP_WAIT_SLICE_SECONDS120Max seconds a single agy_run_wait MCP call blocks before returning a snapshot so gateways do not time out

Run state survives MCP server restarts under ~/.local/state/codex-agy-bridge/.

Status And Risk

This project is experimental. It currently targets Python 3.11+, macOS or Linux with a supported terminal launcher, tmux, and Antigravity CLI 1.0.8-compatible commands and trajectory files.

Antigravity is an agentic CLI. It can read and write files, execute commands, and access the network with the current user's privileges. This bridge is not a sandbox or security boundary.

The bridge always enables Antigravity's dangerous permission-skip policy so unattended runs do not stall on CLI approval prompts. Any dangerously_skip_permissions=false input is rejected; the only allowed value is true. sandbox=true and additional_directories are CLI policy hints, not filesystem containment.

The bridge does not read or copy Antigravity OAuth credentials. It invokes the installed agy binary and reads ordinary local conversation metadata and trajectory files.

Development

git clone https://github.com/varadfromeast/codex-agy-bridge.git

cd codex-agy-bridge uv sync --extra dev uv run pytest uv run ruff check . uv build

Run the server directly:

uv run codex-agy-bridge

The server uses stdio transport. Do not print diagnostic text to stdout; it would corrupt MCP framing.

Publishing

A pushed version tag runs .github/workflows/publish.yml, which verifies versions, runs checks, builds distributions, publishes to PyPI through GitHub OIDC, creates a GitHub release, and publishes server.json to the MCP Registry.

Compatibility

The current reader expects Antigravity trajectory JSONL under:

~/.gemini/antigravity-cli/brain/<conversation-id>/

.system_generated/logs/transcript.jsonl

If Antigravity moves to SQLite or a local daemon API, a new adapter can replace this reader without changing the MCP tool contract.

License

MIT

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