io.github.eduplopez/mcp-voice-summary

Reads a summary out loud when an AI coding task finishes. Offline or neural voices.

这个条目提供什么？

io.github.eduplopez/mcp-voice-summary 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 78/100。作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。在将 io.github.eduplopez/mcp-voice-summary 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。

事实快照

来源: Official MCP Registry
质量: 78/100
安装方式: pypi
仓库: eduplopez/mcp-voice-summary
仓库更新: 2026年10月4日

安装命令

uvx mcp-voice-summary==0.1.1

安装方式: pypi

运行此命令前，请先核对上游源码。

GitHub 项目

质量

仓库 Stars

仓库更新

2026年10月4日

质量分如何计算？

由六个维度加权得出，满分 100。
来源可信度（25）：是否收录于官方或精选 registry。
可安装性（25）：可直接运行的命令 > 已声明传输方式 > 仅源码。
维护活跃度（20）：最近推送时间；已归档条目此项为 0。
采用度（20）：仓库 star 数，按对数曲线计分。
文档完整性（10）与描述质量（10）：是否有已解析的 manifest 或 SKILL.md frontmatter，以及是否为真实描述而非占位文本。
某个来源结构上无法提供的维度（registry 不提供 star 和许可证）不计入该条目的平均分，而不是记为 0 分，因此不同来源的条目仍可横向比较。

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-04T15:09:50.078912Z",
      "publishedAt": "2026-10-04T15:09:50.078912Z",
      "statusChangedAt": "2026-10-04T15:09:50.078912Z"
    }
  },
  "server": {
    "name": "io.github.eduplopez/mcp-voice-summary",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "com.github": {
          "license": "MIT",
          "serverDisplayName": "MCP Voice Summary"
        }
      }
    },
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.1",
    "packages": [
      {
        "version": "0.1.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "mcp-voice-summary",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "environmentVariables": [
          {
            "name": "VOICE_ENGINE",
            "format": "string",
            "default": "edge",
            "description": "Synthesis engine: 'edge' for Azure neural voices (needs internet), 'sapi5' for fully offline native speech."
          },
          {
            "name": "VOICE_LANGUAGE",
            "format": "string",
            "description": "ISO 639-1 code such as 'es' or 'en', optionally with a region such as 'pt-BR'. 'auto' detects it per summary, which is unreliable on short text. Empty follows the system language."
          },
          {
            "name": "VOICE_GENDER",
            "format": "string",
            "description": "'female' or 'male'. Requires the edge engine; sapi5 does not expose the gender of its voices."
          },
          {
            "name": "VOICE_RATE",
            "format": "string",
            "default": "100",
            "description": "Reading speed. 100 is normal, 120 is faster, '-15%' is relative."
          },
          {
            "name": "VOICE_VOLUME",
            "format": "string",
            "default": "100",
            "description": "Volume, 0 to 100."
          },
          {
            "name": "VOICE_MUTE",
            "format": "string",
            "description": "Set to 1 to validate and queue summaries without playing anything. Useful in shared spaces."
          },
          {
            "name": "VOICE_MODE",
            "format": "string",
            "default": "full",
            "description": "'full' speaks the sanitized summary, 'short' replaces it with a fixed generic message so no summary content reaches the speakers or the cloud engine."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/eduplopez/mcp-voice-summary",
      "source": "github"
    },
    "websiteUrl": "https://github.com/eduplopez/mcp-voice-summary",
    "description": "Reads a summary out loud when an AI coding task finishes. Offline or neural voices."
  }
}

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