MCP

AI-agent format

Stand up a research library your whole team queries

Curate once, query forever: shared imports become a common brain with citations instead of link-dump Slack threads.

Chief of StaffTeam Knowledge & Library Opslibrary_import_youtube_channellibrary_searchdeep_context
The use case

The problem

Every team has the person who "knows where that talk is". Maybe it's you. The research your company runs on — conference talks, competitor launches, expert interviews, your own webinars — lives in watch-later lists, dead Slack links and someone's memory. When a decision needs the source, the ritual begins: who watched it, which video was it, twenty minutes of scrubbing for one quote.

A link dump is write-only memory. What you actually want is a curated library that answers questions: one place where the channels that matter are imported, transcripts and all, and where "didn't their CTO explain exactly this on stage?" takes seconds to answer — with a citation to the moment, not a vibe.

The mechanics

How veridive MCP helps

library_import_youtube_channel does the curating: point it at a channel or playlist — a conference archive, a competitor's channel, your own webinar backlog — and it imports every video into your veridive library, transcripts included. library_search and its sibling library_list are your card catalog: find items by title, tag or type in an instant, free.

deep_context is where the library earns its keep. Pick the imported talks that matter — your assistant scopes a selection by their library IDs — and ask your real question across them. It runs the full research pipeline over those transcripts and returns a grounded answer where every claim cites the exact chunk of the exact talk, so nobody has to rewatch anything to trust it.

And because the connection is just an MCP config, the library isn't locked to your machine: share the connector setup the way your team already shares tool configs — a project-level mcp.json in the repo, a shared Claude connector — and the same curated brain answers inside everyone's assistant.

Step by step

How to run it

  1. 1
    Connect veridive MCP

    One-time setup: add the veridive MCP server to Claude, ChatGPT, Cursor or any MCP client and generate your API key. Takes about two minutes.

  2. 2
    Curate the shelves

    Import the channels and playlists your team keeps coming back to. Imports are charged per video, so start with the archives that answer real questions — you can always add more.

    Import this conference's YouTube channel into my veridive library: <channel URL>. Skip Shorts. Use veridive's library_import_youtube_channel.
  3. 3
    Find the right items fast

    The library tools are your catalog: search titles, filter by tag or type, list what's on the shelf. This is how you (or your assistant) pick the talks a question should be scoped to.

    List what's in my library from that conference import — I want the talks about pricing and packaging.
  4. 4
    Ask the library, get citations back

    Your assistant scopes deep_context to the selected talks and asks your question. The answer comes back grounded, citing the exact transcript chunks — ready to paste into the doc or the deck.

    Across those talks: where did speakers disagree about usage-based pricing, and what were the strongest arguments on each side? Cite the talks and the moments.
Before vs after

Problems it solves

  • Institutional knowledge trapped in one person's memory and a hundred watch-later links nobody revisits.
  • "Can you send me that talk?" threads that end with twenty minutes of scrubbing video for a single quote.
  • Research gets repeated because nobody can check what was already watched, imported or concluded.
  • Slack link dumps are write-only: the knowledge goes in, nothing ever comes back out.
The payoff

Why it's valuable

  • Curate once, answer forever — a cited answer in seconds instead of "let me find that video for you".
  • Answers cite the exact moment in the exact talk, so people can verify without rewatching an hour of video.
  • The library compounds: every imported channel makes every future question better answered.
  • It plugs into the assistants your team already uses via a shareable MCP config — rolling it out is sharing a file, not adopting a platform.
Copy & paste

Example prompts

Import this channel into my veridive library, skip Shorts: <channel URL> — use veridive's library_import_youtube_channel.
List the talks in my library about pricing, then ask across them: where do the speakers disagree? Cite the moments.
From the imported competitor launch videos: what did they promise about their roadmap, word for word, and in which video?
Questions

FAQ

What can I import?

Single videos, whole channels, or playlists — library_import_youtube_video and library_import_youtube_channel cover all three, transcripts included. Channel imports can optionally include Shorts and live streams. Imports are charged per video; searching and listing your library is free.

How does the whole team get access?

An MCP connection is just configuration. Share the connector setup the way you already share tool configs — a project-level mcp.json in a repo, or a shared connector in your team's assistant — and everyone's AI queries the same curated library.

What's the difference between searching and asking?

library_search and library_list are the catalog: instant, free lookups over titles, tags and types — they find the right items. deep_context is the reading room: it takes a selection of items and answers questions across their transcripts with citations. Locate with search, understand with context.

Do I have to name the tools in my prompts?

No. Your assistant picks the right veridive tool from a plain-language request — "import this channel" or "what does my library say about X" route themselves. Naming helps only when several servers could plausibly handle the request.

Keep going

Related use cases

Run this in your own assistant

Connect the veridive MCP server to Claude, ChatGPT or Cursor and paste the prompts above — setup takes about two minutes.