Antigravity MCP Server
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Alternatives to Antigravity MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityBmaintenanceEnables calling Google's Antigravity CLI (agy) headlessly through MCP, providing tools like agy_ask and agy_research for agents like Claude Code.243 PyPI19MIT
- AlicenseAqualityBmaintenanceMCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (agy) — purpose-built tools, model routing with fallback, session continuity, and output truncation to save Claude's context and tokens.6111 npm51MIT
- AlicenseAqualityDmaintenanceWraps Google Antigravity CLI into 11 typed MCP tools, enabling any MCP client to invoke agy for code review, prototyping, execution, and long-running tasks.1123MIT
- AlicenseNot gradedqualityBmaintenanceMCP server that bridges Claude Code to Google Antigravity's CLI, enabling Claude to orchestrate Gemini workers in parallel for reading, writing, verifying, and autonomous tasks. It provides tools for single dispatch, parallel fan-out, background jobs, and handles permission, cwd, and shell pitfalls.2MIT
- AlicenseBqualityBmaintenanceA lightweight MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI - saving context window and tokens for what matters.110 PyPI12MIT
- AlicenseAqualityCmaintenanceLets MCP clients delegate tasks to the Google Antigravity CLI, including starting and continuing conversations and listing models, while returning structured results over stdio.324 npmApache 2.0
TDQS
Scored across 13 tools
Most tools have distinct purposes, but there is some overlap between delegate_to_antigravity and start_background_job (both run agy tasks), and between check_job_status and research_status (both poll for status). However, descriptions differentiate them well and the contexts are separate.
Tools follow a consistent snake_case verb_noun pattern (e.g., check_job_status, collect_digests, propose_design_questions). Minor inconsistencies: auto_git_commit uses a prefix, and some verbs are compound (cross_model_review). Overall, the pattern is clear and predictable.
With 13 tools, the server covers a broad domain (git, research, design, code review, background jobs) without being excessive. Each tool earns its place, and the count is appropriate for the advertised capabilities.
The tool surface covers the full lifecycle of research and design pipelines: question proposal, fanout, status polling, collecting digests, and drafting documents. Additionally, git operations, code indexing, and cross-model review are included. No obvious gaps for the intended use case.