Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Delegate heavy tasks from Claude Code to the Antigravity CLI (Gemini) with quota-aware failover.
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Pick the AI app you use, then copy the settings.
AGY_PATH, AGY_TIMEOUT, AGY_MAX_OUTPUT_CHARS, AGY_DEFAULT_MODEL, AGY_ON_FAILUREYou need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
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-bridgeFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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AGY_PATH envAGY_TIMEOUT envAGY_MAX_OUTPUT_CHARS envAGY_DEFAULT_MODEL envAGY_ON_FAILURE envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account sshahzaiib, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, zanadir
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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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