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Deepgram Tts MCP Server

@shubhamofbce

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

shubhamofbce

提交者

Shubham Raj

关于 Deepgram Tts MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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