Onepin vs Gemini MCP
A side-by-side look at the Onepin and Gemini MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
O
OnepinText-to-SpeechAI Voice Production Agent: picks from 30+ TTS models, fixes pronunciation, validates every line.37FairAuth: not declaredVerdict: choose Onepin for text-to-speech work; choose Gemini 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?
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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | O Onepin | |
|---|---|---|
| Category | Text-to-Speech | Text-to-Speech |
| Quality signal | 37/100 · Fair | 57/100 · Good |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | GEMINI_API_KEYVERBOSEGEMINI_OUTPUT_DIR |
| Verified owner |
Tools & capabilities
Onepin tools
No tool names declared yet. Check the project README from the listing page.
Gemini MCP tools 3
lowFast responses, minimal reasoningmediumBalanced (Flash only)highDeep reasoning for complex tasks (default)
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.
Onepin
No confirmed install command for Onepin yet — follow the setup steps linked from its listing page rather than a guessed package name.
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"
}
}
}
}
Frequently asked questions
Onepin is categorized under Text-to-Speech and uses an install path we have not confirmed yet. Gemini MCP belongs to Text-to-Speech and uses a local stdio subprocess. Pick Onepin for text-to-speech work and Gemini 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. Onepin has no confirmed install command yet — follow its own setup instructions.
Onepin has no declared pricing — check the project's own site. Gemini 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 onepin and gemini-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Onepin has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Gemini MCP has 57/100 (Good) with 1 views, 0 installs and 219 GitHub stars.