Typecast API MCP Server

typecast-api-mcp-server-sample

MCP Server for typecast-api, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Typecast API through the Model Context Protocol.

About

This project implements a Model Context Protocol server for Typecast API, allowing MCP clients to interact with the Typecast API in a standardized way.

Feature Implementation Status

Feature	Status
Voice Management
Get Voices	✅
Text to Speech	✅
Play Audio	✅

Setup

Git Clone

git clone https://github.com/hyunseung/typecast-api-mcp-server-sample.git
cd typecast-api-mcp-server-sample

Dependencies

This project requires Python 3.10 or higher and uses uv for package management.

Package Installation

# Create virtual environment and install packages
uv venv
uv pip install -e .

Environment Variables

Set the following environment variables:

TYPECAST_API_HOST=https://api.typecast.ai
TYPECAST_API_KEY=<your-api-key>
TYPECAST_OUTPUT_DIR=<your-output-directory> # default: ~/Downloads/typecast_output

Usage with Claude Desktop

You can add the following to your claude_desktop_config.json:

Basic Configuration:

{
  "mcpServers": {
    "typecast-api-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/PATH/TO/YOUR/PROJECT",
        "run",
        "typecast-api-mcp-server"
      ],
      "env": {
        "TYPECAST_API_HOST": "https://api.typecast.ai",
        "TYPECAST_API_KEY": "YOUR_API_KEY",
        "TYPECAST_OUTPUT_DIR": "PATH/TO/YOUR/OUTPUT/DIR"
      }
    }
  }
}

Replace /PATH/TO/YOUR/PROJECT with the actual path where your project is located.

Manual Execution

You can also run the server manually:

uv run python app/main.py

Contributing

Contributions are always welcome! Feel free to submit a Pull Request.

License

MIT License

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables seamless integration with Typecast API through the Model Context Protocol, allowing clients to manage voices, convert text to speech, and play audio in a standardized way.

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