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guillaumehussong/standard-vocal-mcp

guillaumehussong/standard-vocal-mcp

Voice Agent Factory MCP — deploy, eval, and audit phone agents built on Vapi. Vertical templates, self-testing agents, audio forensics, prompt versioning, CI regression gates.
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配置模板(请按你的客户端调整)
claude mcp add standard-vocal-mcp -- npx -y standard-vocal-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · guillaumehussong/standard-vocal-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
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收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 7 个来源 · mcp
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怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 guillaumehussong/standard-vocal-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

standard-vocal-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> A **Voice Agent Factory** exposed over the Model Context Protocol. Not a CRUD wrapper — a factory that deploys production phone agents, tests them, audits their audio, and gates their prompts like code.
Built on top of Vapi (telephony + LLM + STT + TTS). Differs from the official vapi-mcp-server, which is a generic CRUD wrapper over the Vapi API. This is the **factory layer**: vertical templates, self-testing agents, audio forensics, prompt versioning, CI regression gates.
Why it's hard to copy
The official Vapi MCP is 20 tools that each map to one raw API call. Anyone can read the docs and rebuild it in an hour.
This one encodes months of empirical tuning into its templates — transcriber parameters (numerals, confidenceThreshold, keywords, endpointing), voice selection, conversation flow, urgency handling — plus evaluation logic and audio diagnostics that require knowing the Vapi artifacts API and audio signal processing. The longer it runs, the more reference data it accumulates. That's the moat.
Tools
| Tool | What it does |
|---|---|
| list_agents | Lists the assistants on the account (id, name, model, voice, transcriber) — the entry point to find an assistantId. |
| deploy_agent | One tool = one full vertical deployment. deploy_agent(vertical: elagueur\|plombier, company, extraKeywords) creates a complete Vapi assistant: prompt, voice, transcriber, keywords, greeting. |
| run_eval | **The agent tests itself.** Fetches the live system prompt, simulates N scripted scenarios against the configured LLM, scores behavior (close speed, no price quoting, spelled digit confirmation, urgency priority, solicitation refusal), returns a /100 grade with PASS / WARN / FAIL. No audio, no billing — pure prompt evaluation. **Global hard checks on every scenario**: phone fidelity (any number the agent speaks must be one the caller gave — catches hallucinated numbers that plain "did it spell the digits?" checks miss) and anti-leak (template brackets never reach the caller's ear). One hard failure = verdict FAIL, whatever the grade. |
| audio_forensics | Downloads the 3 recording tracks of a call (mono / customer / assistant), runs RMS-per-window analysis, and **locates the noise source**. Automates the exact manual investigation that found a "computer noise" issue was injected downstream of the caller's mic, not in Vapi. |
| prompt_diff | Prompts as code. snapshot captures the live prompt into local history, diff compares two versions, rollback pushes an old prompt back to Vapi. |
| regression_gate | **CI for prompts.** Runs run_eval and blocks the update if the score regressed vs the stored baseline. Returns allow/deny with the reason. |
Quickstart
Prompt snapshots (prompt_diff) are stored in ./.standard-vocal/ of the directory you launch from — override with STANDARD_VOCAL_STATE_DIR.
Example: one call = one working agent
来源
awesome · https://github.com/guillaumehussong/standard-vocal-mcp
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