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Claude Agy MCP

作者:PyModel版本 1.0.3i★ –i在你的电脑上运行
注册名称io.github.PyModel/claude-agy-mcp

安装

概览

作者提供的说明(英文原文)

Delegate heavy tasks from Claude Code to the Antigravity CLI (Gemini) with quota-aware failover.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: AGY_PATH, AGY_TIMEOUT, AGY_MAX_RUNTIME, AGY_MAX_OUTPUT_CHARS, AGY_DEFAULT_MODEL, AGY_ON_FAILURE

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "claude-agy": {
      "command": "npx",
      "args": [
        "-y",
        "@pymodel/claude-agy-mcp"
      ],
      "env": {
        "AGY_PATH": "your-value",
        "AGY_TIMEOUT": "your-value",
        "AGY_MAX_RUNTIME": "your-value",
        "AGY_MAX_OUTPUT_CHARS": "your-value",
        "AGY_DEFAULT_MODEL": "your-value",
        "AGY_ON_FAILURE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add claude-agy --env AGY_PATH=your-value --env AGY_TIMEOUT=your-value --env AGY_MAX_RUNTIME=your-value --env AGY_MAX_OUTPUT_CHARS=your-value --env AGY_DEFAULT_MODEL=your-value --env AGY_ON_FAILURE=your-value -- npx -y @pymodel/claude-agy-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "claude-agy": {
      "command": "npx",
      "args": [
        "-y",
        "@pymodel/claude-agy-mcp"
      ],
      "env": {
        "AGY_PATH": "your-value",
        "AGY_TIMEOUT": "your-value",
        "AGY_MAX_RUNTIME": "your-value",
        "AGY_MAX_OUTPUT_CHARS": "your-value",
        "AGY_DEFAULT_MODEL": "your-value",
        "AGY_ON_FAILURE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "claude-agy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pymodel/claude-agy-mcp"
      ],
      "env": {
        "AGY_PATH": "your-value",
        "AGY_TIMEOUT": "your-value",
        "AGY_MAX_RUNTIME": "your-value",
        "AGY_MAX_OUTPUT_CHARS": "your-value",
        "AGY_DEFAULT_MODEL": "your-value",
        "AGY_ON_FAILURE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • AGY_PATH env
    Path to the agy binary (defaults to `agy` on PATH)
  • AGY_TIMEOUT env
    Override the runtime ceiling for all tools, in seconds (use AGY_TIMEOUT_ to override a single tool)
  • AGY_MAX_RUNTIME env
    Absolute runtime ceiling in seconds (default 3600); the bridge does not kill on inactivity, only on cancellation, quota exhaustion, or this ceiling
  • AGY_MAX_OUTPUT_CHARS env
    Truncation cap for tool output, in characters (default 50000)
  • AGY_DEFAULT_MODEL env
    Fallback model when no chain entry is available (defaults to Gemini 3.6 Flash (High))
  • AGY_ON_FAILURE env
    Set to `strict` to instruct the calling agent not to absorb failed delegations (default `fallback`)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 PyModel 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32655 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32655 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 32655 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Claude Agy MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.3)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, SuperCollider

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

SuperCollider

作者:Tok

Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Install · Why Gemini 3.8 Flash? · MCP Power Stack · Tools · Timeouts · Configuration

⚡ Install

npm i @pymodel/claude-agy-mcp
claude mcp add-json -s user claude-agy-mcp \

'{"type":"stdio","command":"npx","args":["-y","@pymodel/claude-agy-mcp"],"timeout":3600000}'

Claude Code delegates heavy tasks to Google's flagship Gemini Flash via the Antigravity CLI (agy) — saving Claude's context window and tokens for what matters.

Claude acts as the orchestrator → claude-agy-mcp routes compute-heavy sub-tasks to the newest Gemini Flash agy offers → only concise answers return. Large files, deep git searches, and log dumps never pollute Claude's context.

User → Claude Code → claude-agy-mcp (MCP) → agy CLI → Gemini 3.8 Flash / Pro / Claude

← ← ← (Clean answers only)

Why Gemini Flash for Claude Code?

Gemini Flash is Google's most intelligent workhorse model for coding and agentic execution. It applies deep multi-step planning, rigorous terminal reasoning, and high first-pass code accuracy.

Gemini 3.8 Flash (High) is the default model for every tool. Each chain leads with gemini-flash@latest-high, which resolves against agy models to the newest Flash at High effort — 3.8 Flash as of 2026-09-11 — and only falls back to Pro or Claude when Flash is unavailable or cooling down. The benchmark table below compares 3.8 Flash against 3.7 Flash, from Google's launch table (2026-09-02); the bridge does not pin that generation.

Benchmark Highlights
Benchmark / CapabilityGemini 3.8 Flash (High)Prior Generation (3.7 Flash)Advantage
DeepSWE v1.173.7%65.3%+8.4 pts in long-horizon software engineering; within 0.3 of Claude Opus 5
Terminal-Bench 2.189.4%85.8%+3.6 pts in agentic CLI execution; ahead of Opus 5 (89.1%) and GPT-5.6 Sol
OSWorld-2.059.0%50.6%+8.4 pts in agentic computer use
HLE-Verified54.9%53.6%Multi-step expert reasoning, ahead of Opus 5 (54.4%)
Vals Finance Agent v261.4%59.0%Leads Opus 5 (58.6%) and GPT-5.6 Sol (53.8%) on quantitative agent work
Token Economics$0.75 / $3.75 (1M)$0.75 / $3.75Same price as 3.7 Flash; up to 10x–20x cheaper than Claude Opus/Sonnet
The Token & Context Multiplier

When Claude Code directly analyzes a 4,000-line database dump or greps 20 files across git history, those thousands of lines stay permanently in Claude's prompt context, inflating cost and pushing you toward compaction.

With claude-agy-mcp:

  1. Claude calls analyze_files or deep_search.
  2. Gemini 3.8 Flash processes the 100k+ tokens in isolation via agy.
  3. Only the exact code-level findings and line citations return into Claude's prompt.
  4. Subsequent questions reuse the same agy session with follow_up without re-sending any files.

The Ultimate AI Engineering MCP Stack

claude-agy-mcp is designed to anchor a modern AI engineer's MCP toolkit alongside complementary specialized servers:

┌─────────────────────────────────────────────────────────────────────────────┐

│ Claude Code (Agent) │ └──────┬──────────────────────┬───────────────────────┬───────────────────────┘ │ │ │ │ ▼ ▼ ▼ ▼ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │claude-agy-mcp│ │ context7 │ │ firecrawl │ │ tavily │ │ (Gemini 3.8 │ │(Official Docs│ │(Web Scraping │ │(Live Search │ │ Delegation) │ │ & API Specs)│ │ & Crawling) │ │ & Research) │ └──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘

MCP ServerPrimary SuperpowerWhen Claude Uses It
`claude-agy-mcp`Heavy Compute & Coding DelegationAnalyzing files >200 lines, repo archaeology (git log/diff/blame), adversarial code reviews, and raw execution via Gemini 3.8 Flash.
`context7`Up-to-date Official DocumentationFetching latest version-accurate API signatures and documentation for libraries (Next.js, React, Tailwind, Prisma, Vite, etc.) to eliminate hallucinated APIs.
`firecrawl`Clean Web Scraping & CrawlingConverting dynamic web pages, documentation sites, and GitHub repos into clean, LLM-ready markdown or structured JSON.
`tavily`Fast Live Search & GroundingLow-latency web search, current news, error message lookups, and technical research.
Recommended MCP Configuration (.agents/mcp_config.json or Claude Code)
{

"mcpServers": { "claude-agy-mcp": { "command": "npx", "args": ["-y", "@pymodel/claude-agy-mcp"], "timeout": 3600000 }, "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp@latest"] }, "firecrawl": { "command": "npx", "args": ["-y", "firecrawl-mcp"] }, "tavily": { "command": "npx", "args": ["-y", "tavily-mcp"] } } }


Why this over claude-to-agy?

claude-to-agyclaude-agy-mcp
Tool surface1 generic delegate_to_agy8 purpose-built tools — Claude self-routes reliably
Model selectionnone (agy default only)per-tool family selectors that follow new generations, with quota failover
Multi-turnstatelesssession continuity — follow_up resumes agy conversations without resending context
Output safetyunboundedconfigurable truncation cap protects Claude's context
Sandboxnoread-only tools blocked from writing into the workspace on macOS, optional --sandbox
Honest resultsexit code onlydecides on agy's JSON envelope — reports auto-denied tool actions instead of hiding them
Installuvx (Python)npx (Node) — zero install

Requirements

Install

# 1. Register the MCP server (user scope = all projects).

add-json bakes in a generous client-side timeout so long analyze_files /

delegate calls don't trip Claude Code's tool-call deadline (see Timeouts).

claude mcp add-json -s user claude-agy-mcp \ '{"type":"stdio","command":"npx","args":["-y","@pymodel/claude-agy-mcp"],"timeout":3600000}'

2. Install the bundled skills into every agent found on this machine.

The server gives an agent the tools; the skills tell it when to use them.

npx --package @pymodel/claude-agy-mcp claude-agy-mcp-install-skills

--list to preview, --dir to install somewhere explicit,

--force to replace a skill you have symlinked to your own checkout.

3. Optional: add delegation rules to your project (or ~/.claude/CLAUDE.md).

curl -o CLAUDE.md https://raw.githubusercontent.com/PyModel/claude-agy-mcp/main/CLAUDE.md

Bundled skills

Installing the package installs the skills too, so there is nothing separate to vendor or keep in sync:

SkillWhat it does
agy-delegationRouting rules: which tool to reach for, and when delegating beats doing the work in-context.
agy-delegateThe full delegate-and-review workflow — writing a brief agy can execute blind, dispatching it, reviewing the diff against the brief, and landing it yourself. Includes a CLI-relay fallback for agents that cannot call MCP tools.

The "timeout": 3600000 (60 min, milliseconds) is the client-side tool-call

deadline, matched to the bridge's default AGY_MAX_RUNTIME ceiling. Without it,

a cold-start analyze_files (~40–50s) or a long delegate hits Claude Code's

default and returns timed out waiting for response w

只显示了开头部分;其余内容请在仓库中阅读

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