MCP server
by k2wanko
Create natural Japanese speech with VOICEPEAK—customizable narrators, emotions, speed & pitch for voice content and lang
Generates natural-sounding Japanese speech using the VOICEPEAK engine with customizable narrators, emotions, and pronunciation. Requires VOICEPEAK software to be installed locally.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
According to our notes, VOICEPEAK benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired VOICEPEAK into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: VOICEPEAK is the kind of server we cite when onboarding engineers to host + tool permissions.
VOICEPEAK is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
VOICEPEAK reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
VOICEPEAK has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated VOICEPEAK against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend VOICEPEAK for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated VOICEPEAK against two servers with overlapping tools; this profile had the clearer scope statement.
VOICEPEAK has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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VOICEPEAK テキスト読み上げ機能のための MCP サーバー。
npx voicepeak-mcp@latest
bunx voicepeak-mcp
Claude Desktop の設定に追加：
{
"mcpServers": {
"voicepeak": {
"command": "npx",
"args": ["voicepeak-mcp@latest"]
}
}
}
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: 出力ファイルパス音声を生成して即座に再生します（最大140文字）。
音声ファイルを再生します。
利用可能なナレーターをリストします。
ナレーターの利用可能な感情をリストします。
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。
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。
辞書エントリを削除します。
注意: Windows では利用できません。
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。
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。
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。
イシューやプルリクエストを歓迎します！
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.