How do I use Typecast API MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type `@` followed by the MCP server name and your instructions, e.g., "`@Typecast API MCP Server` convert this text to speech using the British male voice" That's it! The server will respond to your query, and you can continue using it as needed. Here is a [step-by-step guide with screenshots](https://glama.ai/blog/2025-07-08-how-to-install-and-use-mcp-servers).

typecast-api-mcp-server

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.

Related MCP server: Kokoro TTS MCP Server

Feature Implementation Status

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

Setup

Environment Variables

Set the following environment variables:

TYPECAST_API_KEY=<your-api-key> TYPECAST_OUTPUT_DIR=<your-output-directory> # default: ~/Downloads/typecast_output

Usage with Claude Desktop / Cursor

You can add the following to your claude_desktop_config.json or Cursor MCP settings:

Recommended: Using uvx (No installation required)

{ "mcpServers": { "typecast-api-mcp-server": { "command": "uvx", "args": [ "--from", "git+https://github.com/neosapience/typecast-api-mcp-server.git", "typecast-api-mcp-server" ], "env": { "TYPECAST_API_KEY": "YOUR_API_KEY", "TYPECAST_OUTPUT_DIR": "PATH/TO/YOUR/OUTPUT/DIR" } } } }

This method automatically fetches and runs the server from GitHub without manual cloning.

Note for Linux users: If you're running on Linux, you need to add the XDG_RUNTIME_DIR environment variable to the env section:

"env": { "TYPECAST_API_KEY": "YOUR_API_KEY", "TYPECAST_OUTPUT_DIR": "PATH/TO/YOUR/OUTPUT/DIR", "XDG_RUNTIME_DIR": "/run/user/1000" }

Alternative: Local Installation

If you prefer to clone and run locally:

Git Clone

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

Dependencies

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

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

Local Configuration

{ "mcpServers": { "typecast-api-mcp-server": { "command": "uv", "args": [ "--directory", "/PATH/TO/YOUR/PROJECT", "run", "typecast-api-mcp-server" ], "env": { "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

F

license - not found

-

quality - not tested

How are these scores calculated?

Resources

GitHub Repository

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Related Servers

Typecast API MCP Server