A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
14 โ ยท daisys-ai/daisys-mcp ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 14 โ ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository daisys-ai/daisys-mcp๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following: 1. Get an account on Daisys and create an username and password. If you run on mac os run the following command: If you run on linux run the following command: 2. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.): To build from source: 1. clone the repository: git clone https://github.com/daisys-ai/daisys-mcp.git 2. cd into the repository: cd daisys-mcp 3. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods. 4. Create a virtual environment and install dependencies using uv: 5. Add the following to your config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.): Common Issues If you get any issues with portaudio on linux, you can try installing it manually: Contributing If you want to contribute or run from source: 1. Clone the repository: 2. Create a virtual environment and install dependencies using uv: 3. Copy .env.example to .env and add your DAISYS username and password: 4. Test the server by running the tests: you can also run a full integration test with: 5. Debug and test locally with MCP Inspector: uv run mcp dev daisys_mcp/server.py