Content
<a href="https://glama.ai/mcp/servers/@mberg/kokoro-tts-mcp">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@mberg/kokoro-tts-mcp/badge" alt="Kokoro Text to Speech Server MCP server" />
</a>
## Kokoro Text to Speech (TTS) MCP Server
Kokoro Text to Speech MCP server that generates .mp3 files with option to upload to S3.
Uses: https://huggingface.co/spaces/hexgrad/Kokoro-TTS
## Configuration
* Clone to a local repo.
* Download the [Kokoro Onnx Weights](https://github.com/thewh1teagle/kokoro-onnx) for [kokoro-v1.0.onnx](https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files-v1.0/kokoro-v1.0.onnx) and [voices-v1.0.bin](https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files-v1.0/voices-v1.0.bin) and store in the same repo.
Add the following to your MCP configs. Update with your own values.
```
"kokoro-tts-mcp": {
"command": "uv",
"args": [
"--directory",
"/path/toyourlocal/kokoro-tts-mcp",
"run",
"mcp-tts.py"
],
"env": {
"TTS_VOICE": "af_heart",
"TTS_SPEED": "1.0",
"TTS_LANGUAGE": "en-us",
"AWS_ACCESS_KEY_ID": "",
"AWS_SECRET_ACCESS_KEY": "",
"AWS_REGION": "us-east-1",
"AWS_S3_FOLDER": "mp3",
"S3_ENABLED": "true",
"MP3_FOLDER": "/path/to/mp3"
}
}
```
### Install ffmmeg
This is needed to convert .wav to .mp3 files
For mac:
```
brew install ffmpeg
```
To run locally add these to your .env file. See env.example and copy to .env and modify with your own values.
### Supported Environment Variables
- `AWS_ACCESS_KEY_ID`: Your AWS access key ID
- `AWS_SECRET_ACCESS_KEY`: Your AWS secret access key
- `AWS_S3_BUCKET_NAME`: S3 bucket name
- `AWS_S3_REGION`: S3 region (e.g., us-east-1)
- `AWS_S3_FOLDER`: Folder path within the S3 bucket
- `AWS_S3_ENDPOINT_URL`: Optional custom endpoint URL for S3-compatible storage
- `MCP_HOST`: Host to bind the server to (default: 0.0.0.0)
- `MCP_PORT`: Port to listen on (default: 9876)
- `MCP_CLIENT_HOST`: Hostname for client connections to the server (default: localhost)
- `DEBUG`: Enable debug mode (set to "true" or "1")
- `S3_ENABLED`: Enable S3 uploads (set to "true" or "1")
- `MP3_FOLDER`: Path to store MP3 files (default is 'mp3' folder in script directory)
- `MP3_RETENTION_DAYS`: Number of days to keep MP3 files before automatic deletion
- `DELETE_LOCAL_AFTER_S3_UPLOAD`: Whether to delete local MP3 files after successful S3 upload (set to "true" or "1")
- `TTS_VOICE`: Default voice for the TTS client (default: af_heart)
- `TTS_SPEED`: Default speed for the TTS client (default: 1.0)
- `TTS_LANGUAGE`: Default language for the TTS client (default: en-us)
## Running the Server Locally
Preferred method use UV
```
uv run mcp-tts.py
```
## Using the TTS Client
The `mcp_client.py` script allows you to send TTS requests to the server. It can be used as follows:
### Connection Settings
When running the server and client on the same machine:
- Server should bind to `0.0.0.0` (all interfaces) or `127.0.0.1` (localhost only)
- Client should connect to `localhost` or `127.0.0.1`
### Basic Usage
```bash
python mcp_client.py --text "Hello, world!"
```
### Reading Text from a File
```bash
python mcp_client.py --file my_text.txt
```
### Customizing Voice and Speed
```bash
python mcp_client.py --text "Hello, world!" --voice "en_female" --speed 1.2
```
### Disabling S3 Upload
```bash
python mcp_client.py --text "Hello, world!" --no-s3
```
### Command-line Options
```bash
python mcp_client.py --help
```
## MP3 File Management
The TTS server generates MP3 files that are stored locally and optionally uploaded to S3. You can configure how these files are managed:
### Local Storage
- Set `MP3_FOLDER` in your `.env` file to specify where MP3 files are stored
- Files are kept in this folder unless automatically deleted
### Automatic Cleanup
- Set `MP3_RETENTION_DAYS=30` (or any number) to automatically delete files older than that number of days
- Set `DELETE_LOCAL_AFTER_S3_UPLOAD=true` to delete local files immediately after successful S3 upload
### S3 Integration
- Enable/disable S3 uploads with `S3_ENABLED=true` or `DISABLE_S3=true`
- Configure AWS credentials and bucket settings in the `.env` file
- S3 uploads can be disabled per-request using the client's `--no-s3` option
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