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VOICEPEAK

by k2wanko

Create natural Japanese speech with VOICEPEAK—customizable narrators, emotions, speed & pitch for voice content and lang

Integrates with VOICEPEAK engine to generate natural-sounding Japanese speech with customizable narrators, emotions, speed, and pitch parameters for voice content creation and language learning applications.

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140 character limit per synthesisDictionary features unavailable on WindowsRequires VOICEPEAK installation

best for

  • / Japanese language learning and practice
  • / Voice content creation for Japanese media
  • / Accessibility tools for Japanese text
  • / Automated Japanese audio generation

capabilities

  • / Synthesize Japanese text to speech with customizable parameters
  • / Play generated audio files directly
  • / List available narrators and emotions
  • / Manage custom pronunciation dictionaries
  • / Control speech speed and pitch settings
  • / Find and modify dictionary entries for accurate pronunciation

what it does

Generates natural-sounding Japanese speech using the VOICEPEAK engine with customizable narrators, emotions, and pronunciation. Requires VOICEPEAK software to be installed locally.

about

VOICEPEAK is a community-built MCP server published by k2wanko that provides AI assistants with tools and capabilities via the Model Context Protocol. Create natural Japanese speech with VOICEPEAK—customizable narrators, emotions, speed & pitch for voice content and lang It is categorized under other. This server exposes 10 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install VOICEPEAK in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

VOICEPEAK is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

voicepeak-mcp

English

VOICEPEAK テキスト読み上げ機能のための MCP サーバー。

前提条件

  • VOICEPEAK がインストールされていること

インストール

NPX を使用(推奨)

npx voicepeak-mcp@latest

Bunx を使用

bunx voicepeak-mcp

設定

Claude Desktop の設定に追加:

{
  "mcpServers": {
    "voicepeak": {
      "command": "npx",
      "args": ["voicepeak-mcp@latest"]
    }
  }
}

利用可能なツール

synthesize

テキストから音声ファイルを生成します(最大140文字)。

パラメータ:

  • text(必須): 合成するテキスト
  • narrator: ナレーター名
  • emotion: 感情パラメータ
  • speed: 話速(50-200)
  • pitch: ピッチ(-300〜300)
  • outputPath: 出力ファイルパス

synthesize_and_play

音声を生成して即座に再生します(最大140文字)。

play

音声ファイルを再生します。

list_narrators

利用可能なナレーターをリストします。

list_emotions

ナレーターの利用可能な感情をリストします。

dictionary_list

全ての発音辞書エントリをリストします。

注意: 辞書機能は Windows では利用できません。Windows ユーザーは VOICEPEAK アプリケーションで発音辞書を管理してください。

dictionary_add

カスタム発音のための辞書エントリを追加または更新します。

パラメータ:

  • surface(必須): 置き換えるテキスト
  • pronunciation(必須): 日本語かなでの発音
  • priority: 優先度(0-10、デフォルト: 5)

注意: Windows では利用できません。

dictionary_remove

辞書エントリを削除します。

注意: Windows では利用できません。

dictionary_find

テキストで辞書エントリを検索します。

注意: Windows では利用できません。

dictionary_clear

全ての辞書エントリをクリアします。

注意: Windows では利用できません。

対応プラットフォーム

  • ✅ macOS(全機能対応)
  • ⚠️ Windows(部分対応:音声合成・再生のみ、辞書機能は非対応)
  • 🚧 Linux(予定)

Windows での制限事項

Windows 版では、発音辞書の管理機能(dictionary_*)が利用できません。発音のカスタマイズが必要な場合は、VOICEPEAK アプリケーションから辞書を管理してください。

貢献

イシューやプルリクエストを歓迎します!

FAQ

What is the VOICEPEAK MCP server?
VOICEPEAK is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for VOICEPEAK?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.730 reviews
  • Noor Iyer· Dec 20, 2024

    According to our notes, VOICEPEAK benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Luis Perez· Dec 20, 2024

    We wired VOICEPEAK into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ganesh Mohane· Dec 8, 2024

    Useful MCP listing: VOICEPEAK is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Shikha Mishra· Dec 4, 2024

    VOICEPEAK is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Sakshi Patil· Nov 27, 2024

    VOICEPEAK reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Aditi Khanna· Nov 11, 2024

    VOICEPEAK has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Aisha Ndlovu· Nov 11, 2024

    We evaluated VOICEPEAK against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Oct 18, 2024

    I recommend VOICEPEAK for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Emma Gonzalez· Oct 2, 2024

    We evaluated VOICEPEAK against two servers with overlapping tools; this profile had the clearer scope statement.

  • Tariq Jackson· Oct 2, 2024

    VOICEPEAK has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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