Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
AGY_PATH, AGY_TIMEOUT, AGY_MAX_RUNTIME, AGY_MAX_OUTPUT_CHARS, AGY_DEFAULT_MODEL, AGY_ON_FAILURE你需要
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。
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。
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。
AGY_PATH envAGY_TIMEOUT envAGY_MAX_RUNTIME envAGY_MAX_OUTPUT_CHARS envAGY_DEFAULT_MODEL envAGY_ON_FAILURE env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。
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
注册名称已通过 GitHub 账户 PyModel 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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。
同一分类中有:Spec Driven Development, Remote Desktop Commander, SuperCollider
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.
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
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)
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 againstagy modelsto 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 / Capability | Gemini 3.8 Flash (High) | Prior Generation (3.7 Flash) | Advantage |
|---|---|---|---|
| DeepSWE v1.1 | 73.7% | 65.3% | +8.4 pts in long-horizon software engineering; within 0.3 of Claude Opus 5 |
| Terminal-Bench 2.1 | 89.4% | 85.8% | +3.6 pts in agentic CLI execution; ahead of Opus 5 (89.1%) and GPT-5.6 Sol |
| OSWorld-2.0 | 59.0% | 50.6% | +8.4 pts in agentic computer use |
| HLE-Verified | 54.9% | 53.6% | Multi-step expert reasoning, ahead of Opus 5 (54.4%) |
| Vals Finance Agent v2 | 61.4% | 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 / $3.75 | Same price as 3.7 Flash; up to 10x–20x cheaper than Claude Opus/Sonnet |
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:
analyze_files or deep_search.agy.follow_up without re-sending any files.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 Server | Primary Superpower | When Claude Uses It |
|---|---|---|
| `claude-agy-mcp` | Heavy Compute & Coding Delegation | Analyzing 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 Documentation | Fetching latest version-accurate API signatures and documentation for libraries (Next.js, React, Tailwind, Prisma, Vite, etc.) to eliminate hallucinated APIs. |
| `firecrawl` | Clean Web Scraping & Crawling | Converting dynamic web pages, documentation sites, and GitHub repos into clean, LLM-ready markdown or structured JSON. |
| `tavily` | Fast Live Search & Grounding | Low-latency web search, current news, error message lookups, and technical research. |
.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"] } } }
| claude-to-agy | claude-agy-mcp | |
|---|---|---|
| Tool surface | 1 generic delegate_to_agy | 8 purpose-built tools — Claude self-routes reliably |
| Model selection | none (agy default only) | per-tool family selectors that follow new generations, with quota failover |
| Multi-turn | stateless | session continuity — follow_up resumes agy conversations without resending context |
| Output safety | unbounded | configurable truncation cap protects Claude's context |
| Sandbox | no | read-only tools blocked from writing into the workspace on macOS, optional --sandbox |
| Honest results | exit code only | decides on agy's JSON envelope — reports auto-denied tool actions instead of hiding them |
| Install | uvx (Python) | npx (Node) — zero install |
agy) installed and authenticated# 1. Register the MCP server (user scope = all projects).
claude mcp add-json -s user claude-agy-mcp \ '{"type":"stdio","command":"npx","args":["-y","@pymodel/claude-agy-mcp"],"timeout":3600000}'
npx --package @pymodel/claude-agy-mcp claude-agy-mcp-install-skills
curl -o CLAUDE.md https://raw.githubusercontent.com/PyModel/claude-agy-mcp/main/CLAUDE.md
Installing the package installs the skills too, so there is nothing separate to vendor or keep in sync:
| Skill | What it does |
|---|---|
agy-delegation | Routing rules: which tool to reach for, and when delegating beats doing the work in-context. |
agy-delegate | The 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_RUNTIMEceiling. Without it,
a cold-start
analyze_files(~40–50s) or a longdelegatehits Claude Code's
default and returns
timed out waiting for responsew
只显示了开头部分;其余内容请在仓库中阅读