"A server for finding information about antigravity technology and concepts" matching MCP servers:

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Windows computer use in the background for Antigravity and Gemini: look at a window, then act in one verified batch with targets named by their label, without taking the user's mouse, keyboard or foreground; irreversible actions need explicit confirmation.

Enables AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Wraps Google's Antigravity CLI as MCP tools for Claude, enabling cost-disciplined multi-model execution with background jobs and fan-out research/review pipelines.

Bridges Google Antigravity CLI with MCP clients, enabling 13 specialized tools for AI-assisted coding, automation, and security audits.

Enables AI harnesses to delegate code analysis, modification, testing, and long-running tasks to the locally installed Antigravity CLI via stdio MCP, with job status tracking and conversation continuity.

Enables MCP clients such as Claude Code, Codex, and Cursor to dispatch background subagent jobs to the Antigravity IDE's local agent engine and collect results asynchronously. Jobs run through the IDE's authenticated session without an API key, with optional Gemini REST fallback and on-disk job history.

Enables Codex to delegate bounded code analysis, review, isolated edits, multimodal research, and native image generation to supervised Antigravity workers, with queued execution, retries, and inspectable patches.

Bridges any MCP client to the official Antigravity agy CLI, letting users delegate tasks, analyze files, search code, look up docs, and request adversarial reviews from their own Antigravity subscription models. Supports dynamic model discovery, multi-turn session follow-up, and async long-running tasks without replacing the client's main model.

Enables Claude Code to request independent code reviews and second opinions from other AI models (like Gemini, GPT-OSS) via the Antigravity CLI, directly from the chat.

Allows Claude Code to request an independent code review from Google Antigravity (Gemini, Claude, or GPT-OSS) via the Antigravity CLI, providing a second opinion on plans or diffs.

A controlled Model Context Protocol bridge that lets OpenAI Codex delegate work to Google Antigravity CLI on demand, with project-scoped opt-in and read-only delegation.

Lets Codex delegate tasks to the Google Antigravity CLI (agy) with background job execution, live progress tracking, a visual dashboard, and structured error diagnostics.

A TypeScript-based MCP server template for the Antigravity agentic environment, providing system status and SQLite database tools via stdio transport.

Enables mobile control of Antigravity coding agents via Telegram, allowing task submission, plan approval, and artifact viewing.

Let two AI agents build your app at the same time without stepping on each other by providing shared file locks, task delegation, and inter-agent communication.

Enables Google Antigravity IDE and any MCP client to connect to Figma Remote MCP with native canvas write access, bypassing the Figma client whitelist and using 1-click browser OAuth.

MCP server for Google Gemini Antigravity Agent, enabling autonomous code execution, web browsing, and GitHub PR workflows in remote sandboxes.

Lets MCP clients such as Claude Code, Claude Desktop, Cursor, or Codex hand tasks to the Antigravity CLI (agy) so the work runs on the user's Antigravity plan instead of the client's. Exposes tools for delegated coding tasks and reviews, web search with sources, image/PDF analysis, shell command generation or execution, brainstorming, and model/quota checks.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Enables Google Antigravity IDE to invoke local Windows Text-to-Speech tools for speaking text, listing available voices, and adjusting voice, rate, and volume via MCP.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables delegating coding tasks to the official Antigravity CLI from any MCP client, with task listing, model selection, streamed event tracking, cancellation, and resumable sessions. Runs each task against an isolated copy of the repository so results can be previewed, tested, and only integrated into the original after explicit user confirmation.

Connects Google Gemini and local workflows to Google Antigravity IDE, enabling skill, plugin, rule, artifact, and transcript inspection along with workspace command execution, runtime workspace switching, and orchestration of local project resources.

Enables MCP-compatible AI clients like Claude Code, Cursor, and Codex to invoke Google Antigravity's Gemini coding agent for repository-aware file operations, command execution, code review, test generation, and quota checks, while also providing a standalone dual-mode CLI.

Enables an AI to delegate work to secondary Antigravity CLI accounts, running jobs in parallel with dependency (DAG) scheduling, file read/write declarations, warm multi-turn sessions, account quota tracking and compact result collection. Users simply describe their request in natural language while the AI plans and the server executes — no hand-written workflow JSON required.

Enables a local Codex chat to ask a second opinion, review staged, unstaged, or revision-based diffs, and delegate coding tasks to the Antigravity CLI running in isolated or disposable workspaces. Supports starting, polling, retrieving, and cancelling tasks with returned answers, diffs, changed-file lists, exit codes, and time/output limits, while never auto-applying returned patches.

Provides a ready-to-use starter kit for building custom MCP servers, enabling developers to scaffold and register tools with type-safe Zod schemas, run over stdio with auto-bootstrapping, and connect to AI clients like Claude Desktop, Google Antigravity, Cursor, and VS Code.