Deepgram Tts Mcp
@shubhamofbce
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.
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
FAQ from Deepgram Tts Mcp
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.
How do I install the dependencies?
Use Poetry (poetry install) or manually install from the requirements.txt file with pip install -r requirements.txt.
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.
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.
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.
