Zurelay vs Brainiall MCP Server
A side-by-side look at the Zurelay and Brainiall MCP Server 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 Brainiall MCP Server 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?
ZChoose Zurelay when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a remote HTTP/SSE transport.
Choose Brainiall MCP Server when
- You need dedicated capabilities in the Text-to-Speech domain.
- You prefer a remote HTTP/SSE transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
BRAINIALL_API_KEY. - You want tools like
assess_pronunciation, transcribe_speech, synthesize_speech.
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 | 43/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Remote HTTP/SSE |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed |
Tools & capabilities
Zurelay tools
No tool names declared yet. Check the project README from the listing page.
Brainiall MCP Server tools 4
assess_pronunciationScore how accurately a speaker pronounced a given text (0-100), with per-word and phoneme-level feedbacktranscribe_speechTranscribe speech audio into text with automatic language detectionsynthesize_speechConvert text to natural-sounding speech audio (MP3)list_voicesList all available text-to-speech voices
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"
}
}
}
Brainiall MCP Server
{
"mcpServers": {
"fasuizu-br-brainiall-mcp-server": {
"url": "http://localhost:8000/mcp"
}
}
}
Frequently asked questions
Zurelay is categorized under Text-to-Speech and uses a remote HTTP/SSE transport. Brainiall MCP Server belongs to Text-to-Speech and uses a remote HTTP/SSE transport. Pick Zurelay for text-to-speech work and Brainiall MCP Server 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. Brainiall MCP Server is listed as free. Auth: api key required. 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 fasuizu-br-brainiall-mcp-server 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. Brainiall MCP Server has 43/100 (Fair) with 3 views, 0 installs and 1 GitHub stars.