A side-by-side look at the Gemini MCP and 💯 YouTube Transcript + YouTube Search MCP for AI Agents MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Gemini MCP for text-to-speech work as a local process; choose 💯 YouTube Transcript + YouTube Search MCP for AI Agents for search & data extraction as a local process. You can also run both side by side in one mcpServers block.
GEMINI_API_KEY, VERBOSE, GEMINI_OUTPUT_DIR.low, medium, high.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Text-to-Speech | Search & Data Extraction |
| Quality signal | 57/100 · Good | 41/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Freemium |
| Required env vars | GEMINI_API_KEYVERBOSEGEMINI_OUTPUT_DIR | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 219 | 11 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 3 | Not listed |
| Full listing | View Gemini MCP | View 💯 YouTube Transcript + YouTube Search MCP for AI Agents |
lowFast responses, minimal reasoningmediumBalanced (Flash only)highDeep reasoning for complex tasks (default)No tool names declared yet. Check the project README from the listing page.
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.
{
"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"
}
}
}
}
{
"mcpServers": {
"youtube-transcript-youtube-search-mcp-for-ai-agents": {
"command": "npx",
"args": [
"-y",
"ajv-cli@5"
]
}
}
}