MCP server for running Antigravity agent prompts and reviews

Antigravity Agent MCP Server

This MCP server is designed for developers to efficiently manage and execute Antigravity agent prompts and peer reviews. It provides a robust infrastructure for running these tasks as asynchronous, restart-resilient jobs, ensuring continuity and reliability in your AI development workflow. Whether you're interacting via standard input/output or HTTP, this tool streamlines the process of agent prompt execution and review management.

What it Does

The Antigravity Agent MCP Server acts as a central hub for executing Antigravity agent prompts. It transforms these prompts into jobs that can run independently, allowing for background processing and preventing data loss due to interruptions. The server supports both stdio and HTTP interfaces, offering flexibility in how you integrate it into your existing development pipelines. Furthermore, it facilitates peer review processes for agent outputs, enabling collaborative refinement and quality assurance.

Key Features

• Asynchronous Job Execution: Run Antigravity prompts and reviews without blocking your main workflow.
• Restart-Resilient Jobs: Jobs can be resumed after server restarts, maintaining progress and data integrity.
• Flexible Interfaces: Supports interaction via stdio for direct command-line usage or HTTP for programmatic integration.
• Peer Review Integration: Built-in support for managing and executing agent peer review workflows.
• Open Source: Developed and maintained on GitHub , offering transparency and community contribution opportunities.

Who it's For

This tool is specifically for AI developers and ML engineers who are working with Antigravity agents. If you need to automate prompt execution, manage agent outputs, and implement collaborative review processes for your AI models, this MCP server will be a valuable addition to your toolkit. It's ideal for projects requiring reliable, scalable, and efficient handling of agent-based AI tasks.