Gemini MCP vs Zurelay
A side-by-side look at the Gemini 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 Gemini 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 Gemini MCP when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
GEMINI_API_KEY, VERBOSE, GEMINI_OUTPUT_DIR. - You want tools like
low, medium, high.
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 | 57/100 · Good | 37/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | GEMINI_API_KEYVERBOSEGEMINI_OUTPUT_DIR | None listed |
| Verified owner |
Tools & capabilities
Gemini MCP tools 3
lowFast responses, minimal reasoningmediumBalanced (Flash only)highDeep reasoning for complex tasks (default)
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.
Gemini MCP
{
"mcpServers": {
"gemini-mcp": {
"command": "npx",
"args": [
"-y",
"@rlabs-inc/gemini-mcp"
],
"env": {
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
"VERBOSE": "YOUR_VERBOSE_HERE",
"GEMINI_OUTPUT_DIR": "YOUR_GEMINI_OUTPUT_DIR_HERE"
}
}
}
}
Zurelay
{
"mcpServers": {
"zurelay": {
"url": "https://zurelay.com/docs/mcp"
}
}
}
Frequently asked questions
Gemini 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 Gemini 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.
Gemini MCP has no declared pricing — check the project's own site. 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 gemini-mcp and zurelay as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Gemini MCP has a quality signal of 57/100 (Good) with 1 views, 0 installs and 219 GitHub stars. Zurelay has 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.