daisys-ai/daisys-mcp

Overview

A Python-based MCP (Model Context Protocol) server for the Daisy's AI ecosystem. It exposes tools and resources for interacting with Daisy's services through the standard MCP interface.

Best for

Best for
Developers experimenting with MCP integration into the Daisy's AI ecosystem

Use cases

• Integrating Daisy's AI capabilities into MCP-compatible clients
• Building custom tooling that leverages Daisy's models
• Prototyping MCP-based workflows with Daisy's ecosystem

How to use

Install

uv pip install -e .

Tools exposed

• uv
• brew
• apt

Tested with

Claude Desktop, Cursor, mcp-cli, mcp-vscode

Example client config

{\n  "mcpServers": {\n    "daisys-mcp": {\n      "command": "uvx",\n      "args": ["daisys-mcp"],\n      "env": {\n        "DAISYS_EMAIL": "{Your Daisys Email}",\n        "DAISYS_PASSWORD": "{Your Daisys Password}",\n        "DAISYS_BASE_STORAGE_PATH": "{Path where you want to store your audio files}"\n      }\n    }\n  }\n}

Notes

A Python-based MCP (Model Context Protocol) server for the Daisy’s AI ecosystem. It exposes tools and resources for interacting with Daisy’s services through the standard MCP interface.

13 stars on GitHub. Last updated 2025-07-31.

Use cases

• Integrating Daisy’s AI capabilities into MCP-compatible clients
• Building custom tooling that leverages Daisy’s models
• Prototyping MCP-based workflows with Daisy’s ecosystem

Pros

• Lightweight Python implementation that follows the MCP specification
• Straightforward to set up and extend for custom use cases

Cons

• New project with limited test coverage and community support (13 stars)
• Dependency on the Daisy’s platform, which may have its own stability and availability constraints

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.