Zurelay vs Gandr MCP
A side-by-side look at the Zurelay and Gandr MCP 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 Zurelay for text-to-speech work over a hosted endpoint; choose Gandr MCP for text-to-speech as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
ZChoose Zurelay when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a remote HTTP/SSE transport.
Choose Gandr MCP when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a local stdio subprocess transport.
- You want tools like
synthesize, list_voices, list_languages.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | Z Zurelay | |
|---|---|---|
| Category | Text-to-Speech | Text-to-Speech |
| Quality signal | 37/100 · Fair | 48/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
Tools & capabilities
Zurelay tools
No tool names declared yet. Check the project README from the listing page.
Gandr MCP tools 4
synthesizeRender text to speech (WAV, base64). Voice, language, sample rate 8000-48000, pitch and pacing dials.list_voicesThe six available voices.list_languagesThe 23 supported languages and their codes.get_usageTokens used by the configured key. One token is one character.
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.
Zurelay
{
"mcpServers": {
"zurelay": {
"url": "https://zurelay.com/docs/mcp"
}
}
}
Gandr MCP
{
"mcpServers": {
"gandr-mcp": {
"command": "uvx",
"args": [
"gandr-mcp"
]
}
}
}
Frequently asked questions
Zurelay is categorized under Text-to-Speech and uses a remote HTTP/SSE transport. Gandr MCP belongs to Text-to-Speech and uses a local stdio subprocess. Pick Zurelay for text-to-speech work and Gandr MCP 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.
Zurelay has no declared pricing — check the project's own site. Gandr MCP 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 zurelay and gandr-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Zurelay has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Gandr MCP has 48/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.