Server data from the Official MCP Registry
Text to speech for MCP clients. 23 languages, six voices, every render watermarked.
About
Text to speech for MCP clients. 23 languages, six voices, every render watermarked.
Security Report
Well-structured MCP server for text-to-speech synthesis with appropriate authentication and reasonable permissions. The code properly validates inputs, handles errors gracefully, and stores the API key via environment variables as intended. Minor code quality issues around broad exception handling do not significantly impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
6 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: GANDR_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-gandr-ai-gandr-mcp": {
"env": {
"GANDR_API_KEY": "your-gandr-api-key-here"
},
"args": [
"gandr-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
gandr-mcp
The official Gandr MCP server, text to speech inside any MCP-compatible agent (Claude Desktop, Cursor, and friends).
Tools
| Tool | What it does |
|---|---|
synthesize | Render text to speech (WAV, base64). Voice, language, sample rate 8000-48000, pitch and pacing dials. |
list_voices | The six available voices. |
list_languages | The 23 supported languages and their codes. |
get_usage | Tokens used by the configured key. One token is one character. |
Install
pip install gandr-mcp
Claude Desktop (add to claude_desktop_config.json):
{
"mcpServers": {
"gandr": {
"command": "gandr-mcp",
"env": {
"GANDR_API_KEY": "gnd_..."
}
}
}
}
Get a key at gandr.ai. Docs: gandr.ai/docs.
mcp-name: io.github.Gandr-AI/gandr-mcp
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