mcpserver.so LogoMCPFly
Submit
typecast-api-mcp-server-sample logo

typecast-api-mcp-server-sample

by neosapience

API/Clients & IntegrationTypecast APIServerVoiceText-to-Speech

The typecast-api-mcp-server-sample is an MCP server for the Typecast API, enabling seamless integration with MCP clients. It provides a standardized way to interact with the Typecast API through the Model Context Protocol.

View on GitHub

Last updated: N/A

What is typecast-api-mcp-server-sample?

This project implements a Model Context Protocol (MCP) server for the Typecast API, allowing MCP clients to interact with the Typecast API in a standardized way. It acts as a bridge between MCP clients and the Typecast API, handling requests and responses according to the MCP standard.

How to use typecast-api-mcp-server-sample?

  1. Clone the repository.
  2. Install dependencies using uv venv and uv pip install -e ..
  3. Set the required environment variables: TYPECAST_API_HOST, TYPECAST_API_KEY, and TYPECAST_OUTPUT_DIR.
  4. Configure Claude Desktop by adding the server configuration to claude_desktop_config.json.
  5. Alternatively, run the server manually using uv run python app/main.py.

Key features of typecast-api-mcp-server-sample

  • Voice Management

  • Get Voices

  • Text to Speech

  • Play Audio

Use cases of typecast-api-mcp-server-sample

  • Integrating Typecast API with MCP-compatible applications

  • Standardizing interaction with Typecast API

  • Automating voice and audio tasks

  • Building voice-enabled applications

  • Using Typecast API with Claude Desktop

FAQ from typecast-api-mcp-server-sample

What is MCP?

MCP stands for Model Context Protocol, a standardized way for applications to interact with AI models.

What is Typecast API?

Typecast API is an API for generating speech from text.

What environment variables are required?

TYPECAST_API_HOST, TYPECAST_API_KEY, and TYPECAST_OUTPUT_DIR are required.

How do I configure this server for Claude Desktop?

Add the server configuration to your claude_desktop_config.json file, providing the command, arguments, and environment variables.

How can I contribute to this project?

You can contribute by submitting a Pull Request with your changes or improvements.