MCP
Run a brand-safety check before sponsoring
Import the creator's channel, query the archive for landmines, and read comment sentiment — before the contract, not after.
library_import_youtube_channeldeep_contextrun_youtube_toolThe problem
The sponsorship went live Tuesday. Wednesday, someone surfaces a three-year-old video where the creator says something your legal team describes as "incompatible with the brand," and now the campaign is a crisis-comms exercise with your logo in the screenshot. Everyone asks the same question: did nobody watch their old stuff? Nobody did. Nobody ever does — a mid-size creator has hundreds of hours of archive, and vetting means someone skimmed the last month and the media kit.
Brand safety isn't about the creator's recent, professionalized output — it's about the archive, the off-script moments, and the audience the content actually attracts. All three are checkable. Almost no one checks.
How veridive MCP helps
library_import_youtube_channel ingests the creator's archive — the whole thing, including the era before they had a manager. deep_context interrogates it against your specific sensitivities: "where does this creator discuss <topics your brand can't be near>? how do they talk when off script?" — answers cited to the videos and moments, so legal reviews clips, not vibes.
run_youtube_tool's comment-sentiment reads the third layer most vetting skips: the audience. Comments on recent uploads show who actually watches and how they behave — because your sponsorship runs in that room, and a creator with clean content and a toxic comment section is still a brand problem. Three layers, one afternoon, before signature.
How to run it
- 1Connect 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.
- 2Import the full archive
The whole channel, not the recent highlight reel — landmines live in the back catalog.
Import <creator>'s full channel into my veridive library, tagged '<creator>-vetting': <channel URL> — use veridive's library_import_youtube_channel. - 3Sweep for the landmines
Your brand's specific sensitivities, asked directly against the archive, answered with citations.
Across the imported <creator> archive: where do they discuss <sensitive topics for your brand>, and how do they talk in unscripted moments? Cite every instance. - 4Read the room
Comment sentiment on recent uploads — the audience your logo will be standing in front of.
Run comment sentiment on their five most recent videos — what's the audience like, and is there toxicity the content doesn't show? <video URLs>
Problems it solves
- Vetting covers the media kit and last month; the landmines are three years deep in the archive.
- Hundreds of hours of back catalog make manual review economically impossible per deal.
- The audience layer — who actually watches, how they behave — never gets checked at all.
- Post-incident, 'did nobody watch their old stuff?' has no good answer.
Why it's valuable
- The archive check becomes affordable: full-catalog vetting per creator, an afternoon each.
- Findings arrive cited — legal and comms review actual moments, not summaries of fears.
- Comment sentiment surfaces the room your brand will stand in, not just the content.
- The same file re-checks in minutes at renewal time — vetting becomes a standing control.
Example prompts
Import <creator>'s full channel, tagged for vetting — use veridive's library_import_youtube_channel.Where does the archive touch <sensitive topics>? Every instance, cited.Comment sentiment on their recent five — what's the audience actually like? <URLs>FAQ
What does a full-archive vet cost?
Imports are charged per video, so a big channel is a deliberate spend — weigh it against the sponsorship's size and the cost of the Wednesday screenshot. For smaller deals, import the last two years plus anything the sweep flags.
What sensitivities should the sweep cover?
Your brand's actual red lines — the list legal already maintains for ad placements. The sweep is only as good as the questions; bring the real ones.
Is this the reverse of the brand-deal audit for creators?
Exactly — same machinery, opposite direction. Creators auditing brands before pitching, brands vetting creators before signing. Both sides doing homework makes better deals.
Related use cases
Reach filters and content-quality verdicts show whether the audience is real and the content credible.
Import the brand's channel and query their content strategy so your pitch lands in their language.
Fresh-upload sweeps plus comment sentiment show how the story and the reaction are moving hour by hour.
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.