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Deepgram Tts MCP Server

@shubhamofbce

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トランスポート

stdio

作者

shubhamofbce

投稿者

Shubham Raj

Deepgram Tts MCP Server について

This server uses deepgram api to generate text to speech and can also play it on your device. You can use this in claude If you prefer listening to audio on claude instead of reading text.

#text-to-speech#deepgram#audio-mcp

Deepgram Tts MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "deepgram-mcp": {
      "command": "/usr/bin/python3",
      "args": [
        "/Users/your-username/path/to/deepgram-mcp/server.py"
      ],
      "env": {
        "DEEPGRAM_API_KEY": "your-deepgram-api-key"
      },
      "description": "Deepgram MCP server to transcribe audio. It is a STT server that uses the Deepgram API to transcribe audio."
    }
  }
}

Deepgram Tts MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Deepgram Tts Mcp?

Deepgram Tts Mcp is an MCP (Model Context Protocol) server that integrates with Claude Desktop to provide real‑time audio generation from text input. It leverages the Deepgram API for text‑to‑speech processing and plays back the generated audio within MCP‑compatible clients like Claude Desktop or Cursor.

How to use Deepgram Tts Mcp?

Clone the repository, install dependencies using Poetry or pip, and register the server in Claude Desktop’s developer settings by editing the configuration JSON with the absolute path to server.py and your Deepgram API key. After saving, restart Claude Desktop and trigger the MCP client to hear audio generated from your text input.

Key features of Deepgram Tts Mcp

  • Converts text to audio using the Deepgram API
  • Plays audio in real‑time
  • Easy to configure and run locally
  • Integrates with Claude Desktop and other MCP clients
  • Requires Python 3.13 or higher and a Deepgram API key

Use cases of Deepgram Tts Mcp

  • Generating spoken responses from text within Claude Desktop
  • Adding voice output to any MCP‑compatible application
  • Assisting users who prefer audio over reading text
  • Rapid prototyping of text‑to‑speech in local development workflows

よくある質問

1

What prerequisites are needed to run Deepgram Tts Mcp?

You need Python 3.13 or higher, a Deepgram API key (obtainable from the Deepgram developer portal), and an MCP‑compatible client such as Claude Desktop or Cursor.

2

How do I install the dependencies?

Use Poetry (`poetry install`) or manually install from the `requirements.txt` file with `pip install -r requirements.txt`.

3

How do I configure the server in Claude Desktop?

Open Claude Desktop → Settings → Developer Settings → Edit Config. Under `mcpServers`, add a `deepgram-mcp` entry with the command set to your Python interpreter, arguments including the absolute path to `server.py`, and the environment variable `DEEPGRAM_API_KEY` set to your API key.

4

How can I test that the integration works?

After saving the configuration, restart Claude Desktop. Trigger the MCP client to use the `deepgram‑mcp` server; you should hear audio generated from your text input.

5

Does the server run locally or require cloud access?

The server runs locally and communicates with the Deepgram cloud API for audio generation. All configuration and dependencies are set up on your machine.

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