Show HN: YouTube MCP – let your AI agent search YouTube for research
TranscriptAPI MCP offers a comprehensive toolkit for AI agents to interact with YouTube, including features like transcript retrieval and video search. It processes over 15 million transcripts monthly and is designed for seamless integration with various AI platforms. Users can easily set up the service with a free account and API key for enhanced YouTube content analysis.
- ▪TranscriptAPI MCP provides six tools for AI agents, including transcripts and video search.
- ▪It processes over 15 million transcripts each month and has a median response time of 49 milliseconds.
- ▪The service is compatible with multiple AI platforms, allowing for easy integration and use.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,620 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/ZeroPointRepo/youtube-mcp |
| Publication time | Wed, 27 May 2026 07:57:11 +0000 |
| Retrieval time | 2026-05-27T08:07:57.149Z |
| Last seen | 2026-05-27T08:07:57.149Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | uyX5vrXd4f9O · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
YouTube Transcript + YouTube Search MCP for AI Agents The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Six tools — transcripts, video search, channel browsing, in-channel search, playlist extraction, and new-upload polling — for Claude, ChatGPT, Cursor, VS Code, Claude Code, and 20+ clients. Powering 15M+ transcripts every month · 500K+ transcripts processed daily · 49ms median response time Trusted in production by youtubetotranscript.com (~11M/mo) and recapio.com (~2.8M/mo). Why TranscriptAPI MCP Most YouTube MCP servers do one thing — pull a single transcript.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.