YouTube Research MCP vs YouTube
A side-by-side look at the YouTube Research MCP and YouTube MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose YouTube Research MCP for social media work as a local process; choose YouTube for social media as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose YouTube Research MCP when
- You need dedicated capabilities in the Social Media domain.
- You prefer a local stdio subprocess transport.
- You want tools like
research-video, research-videos, search-videos.
Choose YouTube when
- You need dedicated capabilities in the Social Media domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
API_KEY.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Social Media | Social Media |
| Quality signal | 60/100 · Good | 44/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | None listed | API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 26 | 5,822 |
| Directory activity | 0 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 14 | Not listed |
| Full listing | View YouTube Research MCP | View YouTube |
Tools & capabilities
YouTube Research MCP tools 14
research-videoGet citation-ready transcript evidence from a URL or video ID without an API keyresearch-videosCompare timestamp-linked evidence across 2–5 videos without an API keysearch-videosSearch for YouTube videos with advanced filtering optionsget-video-commentsGet comments for a specific videoget-video-transcriptGet transcript for a specific video with optional languageenhanced-transcriptAdvanced transcript extraction with filtering, search, and multi-video capabilitiesget-key-momentsExtract key moments with timestamps from a video transcript for easier navigationget-segmented-transcriptDivide a video transcript into segments for easier analysisget-video-statsGet statistical information for a specific videoget-channel-statsGet subscriber count, view count, and other channel statisticscompare-videosCompare statistics across multiple videosget-trending-videosRetrieve trending videos by region and category- +2 more on the listing page
YouTube 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.
YouTube Research MCP
{
"mcpServers": {
"youtube-research-mcp": {
"command": "npx",
"args": [
"-y",
"@coyasong/youtube-mcp-server@latest"
]
}
}
}
YouTube
{
"mcpServers": {
"klavis-ai-youtube": {
"command": "uvx",
"args": [
"klavis"
],
"env": {
"API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Frequently asked questions
YouTube Research MCP is categorized under Social Media and uses a local stdio subprocess. YouTube belongs to Social Media and uses a local stdio subprocess. Pick YouTube Research MCP for social media work and YouTube for social media.
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.
YouTube Research MCP has no declared pricing — check the project's own site. YouTube is bring-your-own-key: usage is billed by the API provider you supply a key for. 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 youtube-research-mcp and klavis-ai-youtube as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, YouTube Research MCP has a quality signal of 60/100 (Good) with 0 views, 0 installs and 26 GitHub stars. YouTube has 44/100 (Fair) with 4 views, 0 installs and 5,822 GitHub stars.