agy-mcp
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Alternatives to agy-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceEnables MCP-compatible clients like Codex to delegate tasks to the Antigravity CLI, using ConPTY on Windows to reliably capture responses.2MIT
- AlicenseAqualityCmaintenanceEnables 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.3MIT
- 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
- AlicenseBqualityCmaintenanceExposes the Antigravity CLI to MCP clients for structured planning, code review, test validation, general prompts, and literal slash commands against Google Gemini models.5MIT
- 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
- 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-
TDQS
Scored across 3 tools
Each tool has a distinct purpose: run starts a new conversation, continue follows up on an existing one, and models lists available models. There is no overlap or ambiguity between them.
All tools use the consistent 'antigravity_' prefix followed by a clear verb (run, continue, models). The naming pattern is uniform and predictable.
Three tools is an ideal size for this server's scope: it provides the essential operations for interacting with the Antigravity CLI (start, continue, list models) without unnecessary bloat or missing functionality.
The server covers the full lifecycle of an Antigravity turn: starting a new conversation, continuing it, and discovering available models. Given its focused purpose, there are no obvious gaps.