Enables a primary AI coding assistant to delegate work in parallel to multiple specialized AI CLI tools (Gemini, Claude, Codex, Cursor) sharing the same project context, then aggregates their findings into a single synthesized response. Runs locally as an MCP server with zero markup, using existing CLI tools, API keys, and subscriptions across 26+ IDE clients.
This local MCP server lets a primary AI assistant delegate tasks in parallel to specialized sub-agent CLIs (Gemini, Claude, Codex, Cursor) that share the same project context, then aggregates and synthesizes their findings into one response. It uses existing CLI tools and API subscriptions with no markup, supporting 26+ MCP-compatible IDEs.
A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.
Exposes the local Gemini CLI as an MCP stdio server, providing tools for prompting, web search, file operations, and MCP management, enabling AI clients like Codex CLI and Claude Code to interact with Gemini.
This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.
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.