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Daisys MCP server

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AI/IntegrationDaisys AIIntegrationServerAudio

Daisys-mcp is a beta version server that allows integration with MCP clients like Claude Desktop, Cursor, mcp-cli, and mcp-vscode. It enables users to leverage Daisys AI functionalities within these environments.

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What is Daisys MCP server?

Daisys-mcp is a server that connects Daisys AI services to various MCP (Message Channel Protocol) clients. It allows users to use Daisys AI features within applications like Claude Desktop, Cursor, and VS Code.

How to use Daisys MCP server?

  1. Get a Daisys account.
  2. Install required dependencies (portaudio for Mac OS or Linux).
  3. Configure your MCP client with the provided JSON configuration, including your Daisys email, password, and audio storage path.
  4. Alternatively, build from source by cloning the repository, installing uv, creating a virtual environment, and installing dependencies.

Key features of Daisys MCP server

  • Integration with MCP clients

  • Access to Daisys AI functionalities

  • Configuration via JSON

  • Support for audio file storage

  • Build from source option

Use cases of Daisys MCP server

  • Using Daisys AI within Claude Desktop

  • Integrating Daisys AI with Cursor code editor

  • Accessing Daisys AI from VS Code

  • Custom integrations via mcp-cli

  • Developing and testing Daisys AI integrations locally

FAQ from Daisys MCP server

How do I get a Daisys account?

Visit Daisys website (daisys.ai) and create an account.

What is portaudio and why do I need it?

Portaudio is a cross-platform audio I/O library. It's required for audio processing and integration with Daisys MCP server.

Where do I find the MCP config file?

The location of the MCP config file depends on the MCP client you are using (e.g., Claude Desktop, Cursor, VS Code).

What if I encounter issues with portaudio on Linux?

Try installing portaudio manually using the command: sudo apt-get update && sudo apt-get install -y portaudio19-dev.

How can I contribute to Daisys-mcp?

Clone the repository, create a virtual environment, install dependencies, and follow the contributing guidelines outlined in the README.