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typecast-api-mcp-server-sample
Servidor MCP para typecast-API
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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
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Reviews

user_eBiJnXaI
The typecast-api-mcp-server-sample by neosapience is an impressive tool for anyone looking to efficiently integrate MCP applications. Its comprehensive documentation and user-friendly interface make it accessible even for beginners. The product's reliability and seamless API integration significantly enhance productivity, making it a valuable resource for developers. Highly recommended!