Gemini Tts MCP vs Zurelay
A side-by-side look at the Gemini Tts 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 Tts 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 Tts 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:
RUNAPI_API_KEY. - You want tools like
text_to_speech, get_task, check_pricing.
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 | 53/100 · 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 | RUNAPI_API_KEY | None listed |
| Verified owner |
Tools & capabilities
Gemini Tts MCP tools 3
text_to_speechCreate a Gemini TTS text to speech task and optionally wait for a terminal status. Returns the task id, status, and output URLs.get_taskFetch the current status and latest payload for an existing task.check_pricingLook up current pricing for a Gemini TTS model and endpoint.
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 Tts MCP
{
"mcpServers": {
"gemini-tts-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/gemini-tts-mcp"
],
"env": {
"RUNAPI_API_KEY": "YOUR_RUNAPI_API_KEY_HERE"
}
}
}
}
Zurelay
{
"mcpServers": {
"zurelay": {
"url": "https://zurelay.com/docs/mcp"
}
}
}
Frequently asked questions
Gemini Tts 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 Tts 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 Tts 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-tts-mcp and zurelay as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Gemini Tts MCP has a quality signal of 53/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Zurelay has 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.