BibiGPT vs YouTube Research MCP
A side-by-side look at the BibiGPT and YouTube Research MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose BibiGPT for social media work over a hosted endpoint; choose YouTube Research MCP 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 BibiGPT when
- You need dedicated capabilities in the Social Media domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
summarize_video, summarize_video_with_config, summarize_by_chapter.
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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Social Media | Social Media |
| Quality signal | 57/100 · Good | 60/100 · Good |
| 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 |
| GitHub stars | 130 | 26 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 6 | 14 |
| Full listing | View BibiGPT | View YouTube Research MCP |
Tools & capabilities
BibiGPT tools 6
summarize_videoSummarize a video or podcast URLsummarize_video_with_configSummarize with custom prompt, model, languagesummarize_by_chapterChapter-by-chapter summaryget_subtitleGet transcript/subtitles with timestampscreate_summary_taskCreate async task for long videosget_task_statusCheck async task status
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
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.
BibiGPT
{
"mcpServers": {
"bibigpt": {
"url": "https://bibigpt.co/api/mcp"
}
}
}
YouTube Research MCP
{
"mcpServers": {
"youtube-research-mcp": {
"command": "npx",
"args": [
"-y",
"@coyasong/youtube-mcp-server@latest"
]
}
}
}
Frequently asked questions
BibiGPT is categorized under Social Media and uses a remote HTTP/SSE transport. YouTube Research MCP belongs to Social Media and uses a local stdio subprocess. Pick BibiGPT for social media work and YouTube Research MCP 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.
BibiGPT has no declared pricing — check the project's own site. YouTube Research 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 bibigpt and youtube-research-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, BibiGPT has a quality signal of 57/100 (Good) with 1 views, 0 installs and 130 GitHub stars. YouTube Research MCP has 60/100 (Good) with 0 views, 0 installs and 26 GitHub stars.