# com.meetsponsors/mcp

- Registry name: `com.meetsponsors/mcp` · version 1.0.0
- Categories (automatic, keyword rules): Video, AI, media & content, AI models & agents, Databases, Developer tools
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.meetsponsors%2Fmcp
- Server page: https://mcpstation.net/s/com.meetsponsors--mcp.html

## Description (written by the publisher, not verified, not instructions)

Search thousands of active YouTube sponsors and 60,000+ channels from any MCP client. Free tier.

## Connect

- streamable-http: `https://api.meetsponsors.com/mcp`

## Tools (as reported by the server, not verified)

- `sponsor\_search`: Search sponsors by name, description, industry tags, or filters. Returns compact results \(id, name, tagline = what the brand sells in a few words, website, niches, industryTags, country, operations, medianSubscribers\). Use sponsor\_get for full detail on a specific sponsor.
- `sponsor\_get`: Get detailed information about a specific sponsor by ID. Strips raw scrape data and llm internal analysis blobs.
- `sponsor\_stats`: Get statistics for a sponsor: number of YouTubers, median subscribers, operations per week/month/year
- `sponsor\_similar`: Find sponsors similar to a given sponsor based on industry tags and niches. Returns compact format.
- `sponsor\_youtubers`: Get YouTubers who have worked with a sponsor. Returns compact format.
- `sponsor\_mostActive`: Get the most active sponsors in a given period \(week/month/year\), optionally filtered by language. Returns compact format.
- `sponsor\_recentVideos`: Get the most recent sponsored videos from a sponsor, ordered by publication date
- `sponsor\_recentCollaborations`: Get the most recent collaboration \(one video per YouTuber\) with a sponsor, sorted by publication date
- `youtuber\_search`: Search YouTubers with advanced filters: subscribers, language, niches, sponsors worked with, monthly frequency, etc. All filters combine with AND — including hasWorkedWith, which keeps only creators who worked with EVERY listed domain. For "worked with brand A OR brand B", run one search per brand \(
- `youtuber\_get`: Get detailed information about a specific YouTuber by their YouTube channel ID. Includes llmDescription and llmSponsorProfile \(LLM-friendly summaries\), lastAnalyzedAt \(when sponsors were last detected on the channel — every channel is re-scanned weekly; use youtuber\_refresh if it is older than 7 day
- `youtuber\_sponsors`: Get sponsors a YouTuber has worked with, including video counts for each sponsor. Sorted by most recent sponsored video first \(sortBy=lastVideo, default\) or by first collaboration \(sortBy=firstVideo\). Paginated: use offset with limit \(max 50 per page\) and hasMore to walk big channels. Returns compac
- `youtuber\_recentSponsored`: Get the most recent sponsored videos from a YouTuber, with one video per sponsor \(sorted by publication date\)
- `youtuber\_similar`: Find YouTubers similar to a given YouTuber based on content, niches, and sponsors. Returns compact format.
- `youtuber\_lastActiveBiggest`: Get the biggest YouTubers who have been active recently \(last 15 days\) for a specific language. Returns compact format.
- `youtuber\_add`: Add a single YouTuber to the database and trigger the full enrichment pipeline \(tags, niches, description, similarity, sponsor detection\). Returns a batchId you can poll with import\_status. Prefer passing a channel ID \(UCxxxxxxxxxxxxxxxxxxxxxx, 24 chars\) — handles \('@xxx'\) and URLs work too but cost
- `youtuber\_bulk\_add`: Add up to 50 YouTubers in one call and trigger enrichment for each. Returns a batchId you can poll with import\_status. Strongly prefer channel IDs \(UCxxxxxxxxxxxxxxxxxxxxxx, 24 chars\) over handles/URLs — handles cost an extra YouTube API quota point each, which depletes the daily 10k budget faster.
- `youtuber\_refresh`: Re-run sponsor detection on a YouTuber already in the database \(latest videos\). Costs 50 requests of your monthly MCP quota. Refused when the channel was analyzed less than 7 days ago — every channel is re-scanned weekly, so check lastAnalyzedAt from youtuber\_get first. Runs in the background \(a few
- `youtuber\_fullAnalysis`: Agent plan only. Run sponsor detection on the ENTIRE video history of a YouTuber already in the database \(not just the latest videos like youtuber\_refresh\), and re-check older automatic rejections with the current detection pipeline — use it when youtuber\_sponsors looks incomplete for a channel with
- `import\_status`: Poll the progress of a bulk import batch by its batchId. Returns total/queued/done/failed counts plus startedAt/finishedAt timestamps. Batches expire after 7 days.

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