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_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": {
"agy-bridge": {
"command": "npx",
"args": [
"-y",
"agy-bridge"
],
"env": {
"AGY_PATH": "your-value",
"AGY_TIMEOUT": "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 agy-bridge --env AGY_PATH=your-value --env AGY_TIMEOUT=your-value --env AGY_MAX_OUTPUT_CHARS=your-value --env AGY_DEFAULT_MODEL=your-value --env AGY_ON_FAILURE=your-value -- npx -y agy-bridge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": {
"agy-bridge": {
"command": "npx",
"args": [
"-y",
"agy-bridge"
],
"env": {
"AGY_PATH": "your-value",
"AGY_TIMEOUT": "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": {
"agy-bridge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agy-bridge"
],
"env": {
"AGY_PATH": "your-value",
"AGY_TIMEOUT": "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_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6日
注册名称已通过 GitHub 账户 sshahzaiib 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(0.3.1)于5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, dotnet-mcp
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.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
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。
An MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (`agy`) — saving Claude's context window and tokens for what matters.
Claude sends a task → the bridge routes it to the best available model via agy → only the answer comes back. Large files, deep git searches, and web lookups never touch Claude's context.
Listed on
User → Claude Code → agy-bridge (MCP) → agy CLI → Gemini / Claude / GPT-OSS
← ← ←
| claude-to-agy | agy-bridge | |
|---|---|---|
| Tool surface | 1 generic delegate_to_agy | 6 purpose-built tools — Claude self-routes reliably |
| Model selection | none (agy default only) | per-tool routing across all agy models, with availability detection and fallback |
| 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 | optional --sandbox mode |
| 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 agy-bridge \ '{"command":"npx","args":["-y","agy-bridge"],"timeout":600000}'
curl -o CLAUDE.md https://raw.githubusercontent.com/sshahzaiib/agy-bridge/main/CLAUDE.md
The
"timeout": 600000(10 min, milliseconds) is the client-side tool-call
deadline — without it, a cold-start
analyze_files(~40–50s) or a long
delegatecan hit Claude Code's default and return `timed out waiting for
response` while the agy run is still going. If your client doesn't honor a
per-server
timeout, set the global env varMCP_TOOL_TIMEOUT=600000instead.
Details and the agy-side budgets are in Timeouts and cancellation.
| Tool | Use for | Model routing (first available) |
|---|---|---|
analyze_files | Files >200 lines, >3 files at once, logs, dumps, generated code | Gemini Flash (High) → Gemini Pro (Low) → fallback |
deep_search | git log/diff/blame archaeology, repo-wide greps | Gemini Flash (Medium) → (High) → fallback |
web_lookup | Docs, API references, external/current knowledge | Gemini Flash (Medium) → (High) → fallback |
adversarial_review | Plan critiques, design and code reviews | Gemini Pro (High) → Gemini Flash (High) → fallback |
follow_up | Continue a prior session by session_id — no context resend | inherits the session |
delegate | Anything else heavy | Gemini Flash (High) → fallback |
All tools accept optional cwd (project root) and model (an id or display name from agy models; validated, with available models listed on mismatch).
Every response ends with a footer:
---
[agy-bridge] model: Gemini Flash (High) | session: 1f0c…-d4 (use follow_up to continue)
On first use the bridge runs agy models (cached for the process lifetime) and picks the first available model in the tool's preference chain. Chain entries name a family and tier rather than a version (Gemini * Flash (High)), and * resolves to the newest version agy currently lists, so a Gemini release never silently breaks routing. Chains are Gemini-first; Claude Opus and GPT-OSS are appended as a last resort and only used when no Gemini model is listed. If none is available it falls back to AGY_DEFAULT_MODEL, and finally to agy's own default. agy silently ignores unknown --model values, so the bridge validates names up front instead of letting requests land on the wrong model.
agy never surfaces quota exhaustion in print mode — it silently retries the 429 until its print-timeout, then exits 0 with empty output, which used to look like an indefinite hang. The bridge now watches each run's log file (via --log-file) and on RESOURCE_EXHAUSTED (code 429):
Failovers are annotated in the response footer (failover: : quota exhausted (resets in 4h24m)). Only when every candidate is exhausted does the call fail — in seconds, with reset times listed — instead of hanging.
Each tool has its own default timeout sized to its job: web_lookup 120s, deep_search 180s, analyze_files / adversarial_review / follow_up 300s, delegate 600s. Setting AGY_TIMEOUT explicitly overrides all of them at once. To change a single tool, set AGY_TIMEOUT_ instead (e.g. AGY_TIMEOUT_DEEP_SEARCH=300); a per-tool override takes precedence over the global AGY_TIMEOUT and the tool's default. The full set of per-tool variables is AGY_TIMEOUT_ANALYZE_FILES, AGY_TIMEOUT_DEEP_SEARCH, AGY_TIMEOUT_WEB_LOOKUP, AGY_TIMEOUT_ADVERSARIAL_REVIEW, AGY_TIMEOUT_FOLLOW_UP, and AGY_TIMEOUT_DELEGATE. The kill path escalates SIGTERM → SIGKILL across the whole process group, and the deadline fires even if agy's helper processes hold the output pipes open. Cancelling the tool call from the MCP client (e.g. pressing Esc in Claude Code) also kills the agy run instead of orphaning it.
Two timeout layers — align them. The timeouts above are the _agy-side_ budget. Your MCP client (Claude Code) has its own, separate _tool-call_ timeout, and if it is shorter than the agy budget the client gives up first — you'll see Error: timed out waiting for response (note: agy-bridge's own timeout reads agy timed out after Ns instead). The work is not lost: the agy session persists, so follow_up with the returned session_id retrieves the result. But the real fix is to make the client wait at least as long as agy: the Install command already sets a per-server timeout of 600000ms (scoped to the agy-bridge entry only). If you registered the server without it, re-run the add-json command from Install, or set the global env var MCP_TOOL_TIMEOUT=600000. Rule of thumb: client `timeout` ≥ agy budget.
Expected latency. Most of the perceived "slowness" is cold start: the first call in a session spawns the agy CLI and warms the model. A simple analyze_files over 3 files measures around 40–50s cold (≈46s observed), dropping on subsequent same-session calls. A first call that also hits a quota 429 takes longer while the bridge fails over. So a client timeout below ~60s will intermittently trip on cold starts even for "simple" questions — size it generously.
All optional, via environment variables:
| Variable | Default | Description |
|---|---|---|
AGY_PATH | agy | Path to the agy binary |
AGY_TIMEOUT | per-tool | Seconds; overrides all per-tool timeouts at once (see above), passed as --print-timeout, enforced with a 15s kill grace |
AGY_TIMEOUT_ | per-tool | Seconds; overrides the timeout for a single tool only, e.g. AGY_TIMEOUT_DEEP_SEARCH=300. Wins over AGY_TIMEOUT |
AGY_MAX_OUTPUT_CHARS | 50000 | Truncation cap for tool output |
AGY_DEFAULT_MODEL | unset | Fallback model when no chain entry is available (name, id, or * pattern) |
AGY_SKIP_PERMISSIONS | true | Pass --dangerously-skip-permissions to agy |
AGY_SANDBOX | false | Run agy with --sandbox |
AGY_ON_FAILURE | fallback | strict appends an instruction to failed-tool errors telling the calling agent not to absorb the work itself |
The bridge always fails loudly: agy errors surface as MCP tool errors with agy's actual stderr, and degraded model routing is annotated in the response footer. By default the calling agent (Claude) will typically do the work itself after a failure — visible in the transcript, but easy to stop noticing in a long session. Set AGY_ON_FAILURE=strict to append an explicit "do NOT perform this work yourself — report the fai
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