agy-headless-bridge MCP server
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Alternatives to agy-headless-bridge MCP server
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- 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
- FlicenseNot gradedqualityCmaintenanceWraps the Antigravity CLI (agy) as an MCP server, enabling Claude Code and other MCP clients to execute AI tasks and manage conversations via the agy command.1-
- AlicenseAqualityCmaintenanceWraps Google's Antigravity CLI as MCP tools for Claude, enabling cost-disciplined multi-model execution with background jobs and fan-out research/review pipelines.13MIT
- AlicenseAqualityDmaintenanceEnables Claude to drive the Antigravity agent by running prompts through the agy CLI non-interactively, supporting session management and optional sandboxed execution.51ISC
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible coding agents to run the local Antigravity CLI as a coding agent, manage conversation context and common options, and inspect usage, quota, models, version, help, and read-only slash commands.39 npmMIT
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TDQS
Scored across 2 tools
The two tools are clearly described: agy_ask for focused tasks and agy_research for deep research. While both use the same underlying CLI, their purposes are distinct enough that an agent should not confuse them.
Both tools follow a consistent agy_verb naming pattern with snake_case, making the intention clear and predictable.
With only two tools, the server feels very limited. For a CLI bridge, one would expect more operations like configuration, listing, result retrieval, etc. The count is at the low end of acceptable for a minimal server.
The tool surface is extremely sparse. There are no tools for managing sessions, inspecting state, or handling errors, which are important for a headless bridge. Agents may hit dead ends without broader coverage.