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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AGY_BINNoFull path to the agy binary if it is not reliably on PATH.
AGY_BRIDGE_REPONoCustom owner/repo for the update check, e.g. 'SinanTufekci/antigravity-intern'.
AGY_BRIDGE_DEBUGNoSet to '1' to enable debug logging to stderr.
AGY_WATCH_WINDOW_SIZENoWindow size for watch mode in format 'width,height', e.g. '560,760'.
AGY_BRIDGE_NO_UPDATE_CHECKNoSet to '1' to skip the update check at startup.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
antigravity_askA

Ask Antigravity (agy CLI, Gemini by default) a question in a NEW conversation.

Uses your existing AI Pro authentication (silent-auth via Windows Credential Manager). Returns the model's final response as text. Good for fast tool-calling and short tasks; for heavier reasoning pick a bigger model or use the host model directly.

antigravity_continueA

Continue the Antigravity conversation rooted at this workspace.

Resumes the exact conversation id recorded for workspace (via agy's --conversation flag), not agy's global "most recent", so it stays correct even if agy was used elsewhere in between.

antigravity_imageA

Generate an image with Antigravity (Gemini image model via agy CLI).

Drives agy to produce a raster image on your existing AI Pro quota, saves it, and returns the absolute file path plus its real format and byte size. The host can then read the path to view the image.

agy picks the image format itself (JPEG for photo-like images, PNG for flat graphics), so the returned path's extension is corrected to match the actual bytes (a requested out.png may come back as out.jpg). Runs a normal, unsandboxed agy session — same privileges/caveats as the other tools (see the module SECURITY note).

agent_swarmA

Run SEVERAL tasks IN PARALLEL across ALL backends in a single swarm.

Each task is its own worker and names the backend to run on, so one swarm can mix Antigravity (Gemini), Codex, Copilot, and Cursor workers — they run truly concurrently (capped at max_concurrency) and every answer comes back in one labelled block. A worker that fails is reported in place; the others still return.

SECURITY: this launches N unsandboxed agents at once — N times the prompt-injection surface of a single call (see the module SECURITY note). Only use it with trusted prompts on trusted content.

antigravity_image_swarmA

Generate several images IN PARALLEL with Antigravity (one worker per prompt).

Like antigravity_image, but runs N image generations concurrently in isolated workers (capped at max_concurrency). Returns one block listing each image's final path/format/size (or its error). Extensions are corrected to the real bytes, exactly like antigravity_image. Same unsandboxed privileges/caveats as antigravity_swarm.

antigravity_statusA

Report diagnostics for the agy bridge setup (spends no AI Pro quota).

Reports the bridge's own version and whether a newer release is available (best-effort GitHub check; honors AGY_BRIDGE_NO_UPDATE_CHECK), then checks whether agy is on PATH (and its version/compat), whether agy's state directories exist, whether the newest conversation transcript is readable, and whether the SQLite conversation store is present. Use this to debug empty or failed responses — or to see if the bridge itself is out of date — before spending quota.

codex_askA

Ask OpenAI Codex (codex exec) a question or task in a NEW session.

Uses your existing Codex login (ChatGPT or API key — see codex login status). Returns the agent's final message as text, read from codex's --output-last-message file (no stdout scraping). Codex is a capable coding agent, so this suits heavier reasoning and real code work, not just cheap tool-calling. Point workspace at a real project dir for context-aware answers.

codex_continueA

Continue the Codex session rooted at this workspace (codex exec resume).

Resumes the exact session id captured from the last codex_ask in this workspace, falling back to the newest on-disk session whose recorded cwd matches (so it still works after a server restart). The resumed session keeps its original sandbox and model — those are chosen when you start it with codex_ask.

codex_statusA

Report diagnostics for the Codex bridge setup (spends no quota).

Reports the bridge's own version and whether a newer release is available (best-effort GitHub check; honors AGY_BRIDGE_NO_UPDATE_CHECK) — the same update notice antigravity_status shows, so a Codex-only install still surfaces it — then checks whether codex is on PATH (and its version), whether you're logged in (codex login status — no model call, no quota), where codex stores its sessions, and how many workspace sessions are pinned this run. Use this to debug "codex not found" or auth errors before spending quota.

copilot_askA

Ask the GitHub Copilot CLI (copilot -p) a question or task in a NEW session.

Uses your existing Copilot login (OS credential store, or a COPILOT_GITHUB_TOKEN/GH_TOKEN/GITHUB_TOKEN env var — see copilot_status). Returns the agent's final message, read straight from stdout (the CLI's -s silent mode; no scraping). Copilot is a capable agentic coder — good for real code/repo work; point workspace at a project dir for context-aware answers.

copilot_continueA

Continue the Copilot session rooted at this workspace (resumes its --session-id).

Resumes the exact session id the bridge set on the last copilot_ask in this workspace, falling back to the newest on-disk session whose recorded cwd matches (so it still works after a server restart). Unlike codex_continue, copilot re-applies permission flags on every call, so sandbox takes effect here too — e.g. analyze read-only with copilot_ask, then continue with "workspace-write" to apply the fix.

copilot_statusA

Report diagnostics for the Copilot bridge setup (spends no quota).

Reports the bridge's own version and whether a newer release is available (best-effort GitHub check; honors AGY_BRIDGE_NO_UPDATE_CHECK) — the same update notice antigravity_status shows, so a Copilot-only install still surfaces it — then checks whether copilot is on PATH (and its version), an auth hint (copilot has no login status command, so this is best-effort — an env token is reported when set, otherwise login via the credential store is assumed and unverified), where copilot stores session state, and how many workspace sessions are pinned this run. Use this to debug "copilot not found" or auth errors before a call.

cursor_askA

Ask the Cursor CLI (cursor-agent -p) a question or task in a NEW chat.

Uses your existing Cursor login (OS credential store, or a CURSOR_API_KEY env var — see cursor_status). Returns the agent's final message, read straight from stdout (no scraping). Cursor is a capable agentic coder with a wide model menu (GPT / Claude / Grok / Composer); point workspace at a project dir for context-aware answers.

cursor_continueA

Continue the Cursor chat rooted at this workspace (resumes its chat id).

Resumes the exact chat id the bridge minted on the last cursor_ask in this workspace, falling back to the newest on-disk chat whose recorded cwd matches (so it still works after a server restart). cursor applies permission flags per invocation, so sandbox takes effect here too — e.g. analyze read-only with cursor_ask, then continue with "workspace-write" to apply the fix.

cursor_statusA

Report diagnostics for the Cursor bridge setup (spends no quota).

Reports the bridge's own version and whether a newer release is available (best-effort GitHub check; honors AGY_BRIDGE_NO_UPDATE_CHECK) — the same update notice antigravity_status shows, so a Cursor-only install still surfaces it — then checks whether cursor-agent is found (and its version), whether you're logged in (cursor-agent status), and where cursor stores its chats. Use this to debug "cursor not found" or auth errors before spending quota.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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