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)
Measure voice/VoIP path quality -> estimated MOS + live network metrics
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。
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.voice-quality.com/在终端中运行这条命令
claude mcp add --transport http voice-quality-api https://mcp.voice-quality.com/粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"voice-quality-api": {
"url": "https://mcp.voice-quality.com/"
}
}
}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": {
"voice-quality-api": {
"type": "http",
"url": "https://mcp.voice-quality.com/"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://mcp.voice-quality.com/菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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 Gomess8 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.1.0)于4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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, topo^alpin
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.
Avalanche bulletins and mountain weather forecasts for any place in the Alps.
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。
Measure the network path quality to a voice/VoIP destination and get an estimated MOS (1–5) — live, from an API. Built for AI voice agents. Available as REST and as an MCP tool, paid per call via [x402](https://github.com/coinbase/x402) (USDC on Base).
🌐 Live: voice-quality.com · REST api.voice-quality.com · MCP mcp.voice-quality.com
curl https://api.voice-quality.com/health # {"status":"ok"}
curl -s https://api.voice-quality.com/v1/voice-quality \ -H 'content-type: application/json' \ -d '{ "target": "your-voice-endpoint.example", "target_port": 10000, "codec": "G711" }'
You get an estimated MOS + live RTT / jitter / packet loss. Point it at an endpoint that answers media — your own voice infra, or a tiny reflector you run (probe-agent/cmd/reflector). 20 free/day; beyond that it's pay-per-call via x402 (no account needed).
{
"request_id": "vq_2ibc6qqq", "target": "your-voice-endpoint.example", "codec": "G711", "measured_at": "2026-07-01T10:15:13.795Z", "summary": { "mos_estimate": 4.38, "mos_class": "excellent", "r_factor": 91.8 }, "by_probe": [ /* per-probe metrics + R-factor + MOS */ ], "methodology": { "model": "ITU-T G.107 E-model", "confidence": "estimate", "assumptions": ["owd = rtt/2 (symmetric path)", "adaptive jitter buffer = 2x jitter"] }, "credits_used": 0 }
Free network-measurement platforms (Globalping, RIPE Atlas) measure ping/traceroute/DNS/HTTP — they do not measure RTP media quality or estimate MOS. The tools that do (Cyara, Spearline) are enterprise sales motions. This fills the gap: voice path quality as a clean, self-serve, agent-native API — check it before you route a call, or monitor the path to your voice endpoints.
methodology.confidence: "estimate" and its assumptions.Ie/Bpl values are verified against ITU-T G.113 (09/2024), App. I, Table I.4 — rows matched to the probe profile (no PLC, no VAD/DTX). Not "representative"; cited.pnpm audit clean, structured machine-readable errors, Idempotency-Key, Prometheus /metrics, per-identity API keys.| Tier | What you get |
|---|---|
| Free | 20 measurements/day per identity (credits_used: 0). |
| Pay-per-call | Beyond that, a sub-cent–cents micropayment per call via x402 (USDC on Base). Unpaid → 402 with the payment requirements; pay and retry. Agents pay transparently. |
One MCP tool, measure_voice_quality. The server wraps the REST API and pays x402 transparently from a configured wallet once the free tier is exhausted — no human in the loop.
{
"mcpServers": { "voice-quality": { "url": "https://mcp.voice-quality.com/", "env": { "MCP_CLIENT_PRIVATE_KEY": "0x…" } // optional; only for paid calls } } }
[AI agent / dev] ──(HTTP + x402 / MCP)──► [Orchestrator] ──► [E-model (G.107): R → MOS]
└──► [regional probe] ──(emulated UDP/RTP)──► target
| Component | Stack | Role |
|---|---|---|
Orchestrator (packages/orchestrator) | TypeScript + Hono | REST API, E-model, x402 paywall, AUP, rate limit, probe dispatch |
MCP server (packages/mcp-server) | TypeScript + MCP SDK | measure_voice_quality; wraps REST + transparent x402 |
Probe agent (probe-agent) | Go | UDP/RTP emulation + RFC 3550 metrics; cheap regional VPS |
Shared (packages/shared) | TypeScript | Zod schemas, types, G.113 codec constants |
cp .env.example .env # fill in values
docker compose up --build -d # orchestrator + MCP + probe + reflector + landing curl localhost:8080/health
Full deploy (public HTTPS via Caddy or Cloudflare Tunnel, regional probes with mTLS): docs/deploy.md. Going to production (mainnet x402, codec verification, registries): docs/go-live.md.
Methodology · OpenAPI · Deploy · Go-live · Discovery & registries
*The MOS is an objective estimate from network conditions, not a guarantee of call quality. Maintained actively.*