Cheema Text-to-Voice is a free, open-source MCP server that gives any MCP-compatible AI assistant, including Claude Desktop, Claude Code, and n8n, a
Connect Cheema Text To Voice to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Cheema Text-to-Voice is a free, open-source MCP server that gives any MCP-compatible AI assistant, including Claude Desktop, Claude Code, and n8n, a real voice. It runs the NeuTTS text-to-speech models locally on your own CPU or GPU, so. The cheema text to voice mcp server is what makes that connection.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
tts_help — Shows a complete usage guide with examples (start here)tts_synthesize — Converts text to speech, saves a WAV filetts_list_speakers — Lists all available voicestts_list_models — Shows the active model and alternativestts_add_speaker — Clones a new voice from an audio sampleConfiguration is passed through the environment: NEUTTS_HOST. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Cheema Text To Voice's toolset — tts_help, tts_synthesize, tts_list_speakers and 2 more — is a fair guide to whether it matches your workflow. It is maintained by muhammadtayyabilyas; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Cheema Text To Voice's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| tts_help | Shows a complete usage guide with examples (start here) |
| tts_synthesize | Converts text to speech, saves a WAV file |
| tts_list_speakers | Lists all available voices |
| tts_list_models | Shows the active model and alternatives |
| tts_add_speaker | Clones a new voice from an audio sample |
{
"mcpServers": {
"cheema-tts": {
"command": "/full/path/to/CHeema-Text-to-Voice-MCP-Server/venv/bin/python",
"args": ["/full/path/to/CHeema-Text-to-Voice-MCP-Server/mcp_server.py"],
"env": {}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| NEUTTS_HOST | Endpoint or connection string the server talks to. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.