cartesia-mcp
The Cartesia MCP server provides a way for clients such as Cursor, Claude Desktop, and OpenAI agents to interact with Cartesia's API. This tool allows users to localize speech, convert text to audio, infill voice clips, and more. Users can leverage various audio processing capabilities through Cartesia's API, making it especially useful for projects involving AI and LLMs (Large Language Models).
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Cartesia MCP Server
The Cartesia MCP server provides a way for clients such as Cursor, Claude Desktop, and OpenAI agents to interact with Cartesia's API. Users can localize speech, convert text to audio, infill voice clips etc.
Cartesia Setup
Ensure that you have created an account on Cartesia, there is a free tier with 20,000 credits per month. Once in the Cartesia playground, create an API key under API Keys --> New.
Installation
pip install cartesia-mcp
which cartesia-mcp # absolute path to executable
Claude Desktop Integration
Add the following to claude_desktop_config.json which can be found through Settings --> Developer --> Edit Config.
{
"mcpServers": {
"cartesia-mcp": {
"command": "<absolute-path-to-executable>",
"env": {
"CARTESIA_API_KEY": "<insert-your-api-key-here>",
"OUTPUT_DIRECTORY": // directory to store generated files (optional)
}
}
}
}
Try asking Claude to
- List all available Cartesia voices
- To convert a text phrase into audio using a particular voice
- To localize an existing voice into a different language
- To infill audio between two existing audio segments (specify absolute paths to audio files)
- To change an audio file to use a different voice
Cursor Integration
Create either a .cursor/mcp.json in your project or a global ~/.cursor/mcp.json. The same config as for Claude can be used.