AGY MCP for Windows
Related Servers
Alternatives to AGY MCP for Windows
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
- 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.18 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables ChatGPT on Windows to securely access codebases, Git, terminals, language servers, debuggers, SQLite, local HTTP services, adaptive project memory, engineering skills, checkpoints, audit logs, and sandboxed command execution through MCP tools.MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI models to operate on a Windows PC through local filesystem and terminal MCP tools, with token auth and active project switching.-
- FlicenseNot gradedqualityBmaintenanceTurns any Windows device into a remotely controllable MCP toolset, allowing a mobile AI agent to execute CLI, GUI, browser, and system commands on Windows without an API key.2-
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to seamlessly integrate with the Windows operating system, performing tasks such as file navigation, application control, UI interaction, and QA testing via the MCP protocol.-
TDQS
Scored across 3 tools
Each tool has a distinct purpose: starting a new prompt, continuing an existing conversation via conversation_id, and listing available models. There is no meaningful overlap or ambiguity between them.
All tool names follow the consistent agy_<noun> pattern in snake_case. The naming is predictable and clearly scoped to the Antigravity domain.
Three tools are well-scoped for a focused MCP server that wraps Antigravity AI interactions. Each tool covers a necessary capability without unnecessary bloat.
The core lifecycle is covered: start a conversation, continue it, and check available models. Minor gaps exist such as no explicit conversation history listing or deletion, but these are not essential for the primary workflow.