Daisys MCP vs Zurelay
A side-by-side look at the Daisys MCP and Zurelay MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Z
ZurelayText-to-Speech · Remote HTTP/SSEMake images, videos and speech: Nano Banana, GPT Image, Seedance, Kling, Wan and Gemini TTS.37FairAuth: not declaredVerdict: choose Daisys MCP for text-to-speech work as a local process; choose Zurelay for text-to-speech over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Daisys MCP when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
DAISYS_EMAIL, DAISYS_PASSWORD, DAISYS_BASE_STORAGE_PATH.
ZChoose Zurelay when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a remote HTTP/SSE transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | Z Zurelay | |
|---|---|---|
| Category | Text-to-Speech | Text-to-Speech |
| Quality signal | 47/100 · Fair | 37/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | DAISYS_EMAILDAISYS_PASSWORDDAISYS_BASE_STORAGE_PATH |
Tools & capabilities
Daisys MCP tools
No tool names declared yet. Check the project README from the listing page.
Zurelay tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Daisys MCP
{
"mcpServers": {
"daisys-ai-daisys-mcp": {
"command": "uvx",
"args": [
"daisys-mcp"
],
"env": {
"DAISYS_EMAIL": "YOUR_DAISYS_EMAIL_HERE",
"DAISYS_PASSWORD": "YOUR_DAISYS_PASSWORD_HERE",
"DAISYS_BASE_STORAGE_PATH": "YOUR_DAISYS_BASE_STORAGE_PATH_HERE"
}
}
}
}
Zurelay
{
"mcpServers": {
"zurelay": {
"url": "https://zurelay.com/docs/mcp"
}
}
}
Frequently asked questions
Daisys MCP is categorized under Text-to-Speech and uses a local stdio subprocess. Zurelay belongs to Text-to-Speech and uses a remote HTTP/SSE transport. Pick Daisys MCP for text-to-speech work and Zurelay for text-to-speech.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Daisys MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Zurelay has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add daisys-ai-daisys-mcp and zurelay as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Daisys MCP has a quality signal of 47/100 (Fair) with 1 views, 0 installs and 14 GitHub stars. Zurelay has 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.