agy-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| agy_executeA | Spins up a headless Antigravity (agy) agent to autonomously execute heavy coding, editing, refactoring, research, or testing tasks with live streaming progress, thinking token logs, tool tracing, and token savings metrics. |
| agy_continueA | Continues an existing Antigravity conversation for follow-up adjustments, revisions, test fixing, or iterative tasks with real-time streaming and token savings tracking. |
| agy_check_taskB | Checks the status, running duration, execution trace, and results of an asynchronous task started with async: true. |
| agy_get_token_savingsA | Returns lifetime token savings analytics and history of context window saved across all delegations. |
| agy_inspect_transcriptB | Inspects the execution trajectory, tool calls, and actions from an Antigravity conversation without filling context with raw logs. |
| agy_get_statusA | Checks whether the Antigravity CLI (agy) is available, responds, and reports current CLI status. |
| codex_executeB | Spins up an OpenAI Codex subagent to autonomously execute coding, refactoring, testing, and file editing tasks with live streaming progress and token savings tracking. |
| codex_continueA | Continues an existing Codex session thread for follow-up adjustments, corrections, or iterative bugfixing. |
| codex_check_taskB | Checks the status, running duration, execution trace, and results of an asynchronous task (Codex or Antigravity). |
| codex_get_statusA | Checks whether the OpenAI Codex CLI is installed, operational, and reports current authentication status. |
| chatgpt_consultB | Consults ChatGPT / OpenAI models (e.g. o3-mini, gpt-4o, o1) for high-level technical advice, architectural review, edge case analysis, or second opinions. |
| chatgpt_reviewC | Requests an adversarial code review from ChatGPT on a git diff, file content, or code snippet with specialized focus. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 12 tools
The agy_* and codex_* families have parallel execute/continue/check/status tools that can be confused, especially since codex_check_task explicitly says it handles both Codex and Antigravity tasks. Prefixes and descriptions help, but the duplicate lifecycle across two similar agent types creates real ambiguity.
All tools follow a consistent provider_prefix + verb pattern using snake_case, such as agy_execute, codex_check_task, and chatgpt_review. This makes the tool set predictable and easy to navigate.
Twelve tools is within a reasonable range for a multi-provider delegation server. The count is slightly inflated by parallel lifecycle tools for agy and codex, but each provider family has a clear purpose.
The tool surface covers the core delegation workflow: execute, continue, check status, inspect transcripts, and get provider status. Minor gaps exist, such as no explicit cancellation or session listing, but agents can complete primary tasks without dead ends.