Creatordb MCP server agent

creatordb-mcp-server

A Model Context Protocol server that exposes the CreatorDB V3 API to any MCP-compatible client (Claude Code, Claude Desktop, Cursor, etc.).

43 tools across six surfaces:

• Creator-side data — profile, performance, audience demographics, contact, content-detail, performance history for YouTube, Instagram, and TikTok
• Creator search — natural-language search across all three platforms, plus structured filter search per platform (country, language, follower thresholds, niches, hashtags, audience demographics, etc.)
• Brand-side / sponsor intelligence (YouTube + Instagram only — TikTok brand data is not indexed) — search CreatorDB's 10K+ indexed brands, pull a brand's full profile, list every creator a brand has sponsored, get aggregated audience demographics across a brand's sponsored creator pool, and cross-platform spend / CPM / CPE rollups. The heavier sponsor reads (get_sponsor_creators, get_sponsor_performance, get_sponsor_audience, get_sponsor_summary) cost 15 credits each — use deliberately. get_sponsor_information is 2, search_sponsors 2, list_sponsors 1.
• Content search — find individual TikTok videos by content-level filters (publish time window, view/like thresholds, hashtags, language, etc.). Different from creator search — this returns posts, not channels. (YouTube and Instagram content search are temporarily unavailable while their search is optimized for lower credit consumption; TikTok remains.)
• Topic + niche taxonomies — paged, searchable catalogs (~470 YT topics, ~16K YT niches, ~40K each on IG/TT) for resolving the per-creator topic/niche IDs returned in profile responses. Pass search to resolve a phrase to entry names rather than paging.
• Account — credit usage broken down by endpoint and platform.

Every tool returns the underlying V3 JSON plus a Credits used: N | Remaining: M footer line, so the AI knows exactly what it's spending.

Working with Claude Code? Open this README in Claude Code (or paste the URL into a Claude session) and say "set up this MCP for me." The steps below are written so an AI assistant can follow them top to bottom.

Quick start

There are two ways to connect, depending on your client:

• Local clients (Claude Code, Claude Desktop, Cursor) run the server as a subprocess via npx — see Install (local / stdio).
• Web / desktop / mobile clients connect to the hosted endpoint, or add CreatorDB straight from Claude's connector directory — see Remote connector.

Both expose the same 43 tools. Both need a CreatorDB V3 API key.

1. Prerequisites
   • For the local route: Node.js 22 or newer (node -v to check)
   • A CreatorDB V3 API key — get one from https://creatordb.app account settings, or ask your team admin
2. Pick a connection method below
3. Restart your MCP client so it picks up the new tools
4. Verify by running /mcp in Claude Code — creatordb should appear with status connected

Install (local / stdio)

For Claude Code, Claude Desktop, and Cursor. The server reads one environment variable: CREATORDB_API_KEY (your V3 key).

Method A — npx from npm (recommended)

The package is published to npm as @creatordbai/mcp-server. No local clone, no SSH key, no GitHub access required:

Claude Code:

claude mcp add creatordb -s user \
  -e CREATORDB_API_KEY=YOUR_CREATORDB_API_KEY \
  -- npx -y @creatordbai/mcp-server

Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "creatordb": {
      "command": "npx",
      "args": ["-y", "@creatordbai/mcp-server"],
      "env": { "CREATORDB_API_KEY": "YOUR_CREATORDB_API_KEY" }
    }
  }
}

If you have GitHub org access and want to track main instead of the npm release, swap the npm name for git+ssh://[email protected]/CreatorDB/creatordb-mcp-server.git — the repo's prepare script will build on install.

Method B — clone and build locally

Good if you want to read/modify the source, or if npx from git doesn't work in your environment.

git clone https://github.com/CreatorDB/creatordb-mcp-server.git
cd creatordb-mcp-server
npm install
npm run build

# Then register with Claude Code:
claude mcp add creatordb -s user \
  -e CREATORDB_API_KEY=YOUR_CREATORDB_API_KEY \
  -- node "$(pwd)/dist/index.js"

For Claude Desktop, use the same JSON as Method A but swap command + args:

"command": "node",
"args": ["/absolute/path/to/creatordb-mcp-server/dist/index.js"],

Method C — project-scoped via .mcp.json (best for teams)

Drop a .mcp.json into a CreatorDB project repo. Anyone who opens that repo in Claude Code gets prompted to enable the MCP — no per-person setup commands.

{
  "mcpServers": {
    "creatordb": {
      "command": "npx",
      "args": ["-y", "git+ssh://[email protected]/CreatorDB/creatordb-mcp-server.git"],
      "env": { "CREATORDB_API_KEY": "${CREATORDB_API_KEY}" }
    }
  }
}

${CREATORDB_API_KEY} reads from the user's shell environment, so the key stays out of git. Each teammate sets it once in their .zshrc/.bash_profile:

export CREATORDB_API_KEY=YOUR_CREATORDB_API_KEY

Remote connector (Claude web, desktop, mobile)

Claude clients that can't spawn a local subprocess connect to the hosted endpoint instead of running npx. There are two ways in.

From the connector directory (easiest). CreatorDB is listed in Claude's connector directory. In Claude: Settings → Connectors → Add → Browse connectors, search CreatorDB, open CreatorDB MCP, and click Connect to Claude.

Add it manually. You can also add it directly: Settings → Connectors → Add → Add custom connector, and enter the URL:

https://mcp.creatordb.app/mcp

Leave the Advanced OAuth Client ID / Secret fields empty — the server registers the client automatically.

Either way, you'll be prompted to enter your CreatorDB API key when you connect, and the same 43 tools appear.

Notes:

• You'll be prompted to enter your key when you connect; the connector seals it into an encrypted session token and keeps no separate copy. CreatorDB stores the key only as the credential it issued you.
• Programmatic clients calling the endpoint directly can instead send Authorization: Bearer <your CreatorDB V3 API key>.
• Health check: https://mcp.creatordb.app/health (no auth, 0 credits) — returns {"status":"ok",...} when the service is up.
• Hosted as a Firebase Cloud Function (gen 2) in asia-northeast1; source is in functions/.
• Don't have a key? Get one at https://app.creatordb.app or email [email protected].

Changing your API key

You don't update a key inside the MCP server — it doesn't store keys. You change it in your client's MCP configuration and restart.

Local install (Claude Code, Claude Desktop, Cursor)

Edit the same config file you used during setup:

• Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
• Cursor: ~/.cursor/mcp.json (or the in-app MCP settings UI)
• Claude Code: ~/.mcp.json or your project's .mcp.json

Change the CREATORDB_API_KEY value, then fully restart the client (⌘Q + reopen for Claude Desktop, restart the Cursor app, etc.). MCP clients only read the key at process startup.

If you set the key from your shell environment (Method C above, with ${CREATORDB_API_KEY} syntax), update ~/.zshrc / ~/.bash_profile and restart your terminal before restarting the client.

Remote connector (Claude web, desktop, mobile)

In Settings → Connectors → CreatorDB, disconnect and reconnect, then enter the new key when prompted. (A programmatic client sending a Bearer token just starts sending the new key.)

One thing to know about rotating a leaked key

Changing the key on the client side only swaps which key your tools authenticate with. It does NOT invalidate the previous key. If you're rotating because the old key was exposed:

1. Go to your CreatorDB account and revoke the old key there — that's what actually kills it at the V3 API layer.
2. Then update the MCP client to use the new key as above.

The MCP server never persists your key past a single request, so there's no server-side "stored key" to purge.

Verify it works

After install, restart Claude Code (or your MCP client) and:

1. Run /mcp — you should see creatordb listed with status connected
2. Ask Claude something that uses the tools, e.g. "use creatordb to look up the YouTube profile for MrBeast (channelId UCX6OQ3DkcsbYNE6H8uQQuVA)"
3. The response should include creator data and a Credits used: 2 | Remaining: … footer

Troubleshooting

Symptom	Cause	Fix
/mcp shows creatordb as failed or connecting forever	API key missing or wrong	Re-add with claude mcp remove creatordb && claude mcp add … using the correct key
Tools work but every response ends Credits used: undefined	Stale tool schema from an older build of this server	Restart the MCP client — clients cache the schema at session start
Error: VALIDATION_ERROR on Instagram tools	Passing userId instead of uniqueId	IG endpoints take the handle as uniqueId. Older clients with stale schemas hit this most
npx install fails with EACCES: permission denied	npx cache permission issue	rm -rf ~/.npm/_npx and re-run
Error: ENOENT or cannot find dist/index.js	Method B didn't run npm run build	cd into the repo and run npm install && npm run build
Tool descriptions seem outdated vs this README	Schema cached from an old version	claude mcp remove creatordb && claude mcp add … to force a re-fetch

Why restarts matter — MCP clients fetch the tool list once at session start. Server updates (new tools, renamed params, fixed costs) only show up after the client reconnects. This is the single most common confusion.

Upgrading to a newer published version? npx caches packages by exact version, so a configured client keeps running whatever version it first downloaded. To force-pull the latest, either pin to @latest in your config (npx -y @creatordbai/mcp-server@latest re-resolves each launch) or clear the npx cache once (rm -rf ~/.npm/_npx). Then restart the MCP client.

Releasing (maintainers)

The .github/workflows/release.yml workflow publishes to npm whenever a v*.*.* tag is pushed.

# bump version, commit, tag, push
npm version patch              # or minor / major
git push && git push --tags

The workflow validates that the tag matches package.json version, runs npm ci, builds, and publishes via npm Trusted Publishing with sigstore provenance attestation. No long-lived NPM_TOKEN is stored — the workflow exchanges a GitHub OIDC token for a short-lived npm publish token at runtime.

Roadmap

• Goal: list in the MCP registry and Claude's MCP marketplace so the server shows up when users browse MCP servers from inside their client.
• Contributions, issues, and feedback welcome — see Getting help below.

Tools

43 tools across six categories. Every tool returns a structured JSON payload plus a Credits used: N | Remaining: M footer line.

Account (1)

Tool	Cost	Notes
get_api_usage	0	Daily request counts and credit consumption by endpoint. Defaults to last 7 days; takes optional start/end Unix-ms timestamps.

Search (4)

Tool	Cost	Notes
search_creators_nls	dynamic (token-based)	Natural-language search across all three platforms. The AI picks the platform and converts the query into filters.
search_youtube	1 per 10 filters	Structured filter search. Use totalSubscribers for count thresholds.
search_instagram	1 per 10 filters	Structured filter search. Use totalFollowers for count thresholds.
search_tiktok	1 per 10 filters	Structured filter search. Use totalFollowers for count thresholds.

Filter type gotcha: numeric ops (>, <, = on subscriber/follower/rate fields) require a number value, not a numeric string. "1000000" → VALIDATION_ERROR; 1000000 → ok.

Filter value notes: hashtag values match with or without a leading # and are case-insensitive. Ratio and percentile fields (audienceMaleRatio, audienceFemaleRatio, and YouTube's *Percentile fields) take a decimal from 0 to 1, not 0-100: 0.6 = 60%, 0.9 = top 10%.

Sponsors / brand data (8)

Brand-side intelligence: which brands sponsor creators, how much they spend, which creators they work with. Sponsor data covers YouTube and Instagram only — TikTok is not indexed for brands.

Brand-key: brandId, typically the brand's primary domain (e.g. "acer.com", "nike.com").

Tool	Cost	Returns
search_sponsors	2 per page	Brand search by structured filters. Lean records (brandId, name, logo, industries, country).
list_sponsors	1 per page	Paginated directory of all 10K+ indexed brands.
get_sponsor_information	2	Full brand profile: aliases, keyPeople, industries, location, website, socialMedia, competitors.
get_sponsor_creators	25 per page	Inverse of get_*_sponsorship — which creators has this brand sponsored. Returns followers, lastSponsoredDate, sponsoredCount, topics, niches per creator.
get_sponsor_performance	25 per page	Per-content sponsorship perf. Three stats scopes per creator (creatorTotal, allSponsored lifetime, this-brand-only). YT-only: estimatedCost, CPM.
get_sponsor_audience	25	Aggregated audience demographics across the brand's sponsored creator pool. IG block reserved but null today (backend YT-only).
get_sponsor_summary	25	Cross-platform rollup: totalSponsoredCreators/Content, per-platform creators + performance + growth30d.
submit_sponsor	1 (0 if duplicate)	Submit a brand for indexing. Rate-limited 100/day per key. Returns submissionId + status.

Cost warning — get_sponsor_creators, get_sponsor_performance, get_sponsor_audience, get_sponsor_summary each cost 25 credits per call. Use search_sponsors / list_sponsors / get_sponsor_information for cheap exploration first.

YouTube creator data (7 + 4 platform-specific)

Creator-key: channelId (the UC… form — @handle / /c/ / /user/ URLs are not accepted; resolve first).

Tool	Cost	Returns
get_youtube_profile	2	Identity, subscribers, country, language, linked socials, channel categories, plus the creator's topics and niches.
get_youtube_contact	15	Email addresses.
get_youtube_performance	3	R20 (last 20 videos) + all-time (up to 800) engagement metrics; consistency scores; 30d/90d view windows.
get_youtube_performance_history	3	Daily snapshots over the past N days. Takes pastDayRange (string integer, 1–365).
get_youtube_audience	10	Age buckets, gender split, top countries.
get_youtube_content_detail	3	Recent videos + shorts with per-item engagement.
get_youtube_sponsorship	5	Sponsored content grouped by indexed brand (recent posts only — empty list ≠ "no sponsors").
list_youtube_topics	1	The YT TOPIC taxonomy (~470 entries with channelCount), paged. YouTube-only — IG and TT do not have a topic taxonomy. search, category, minChannelCount, pageSize, offset.
list_youtube_niches	1	The YT NICHE taxonomy (~16K entries with channelCount), paged. search, category, minChannelCount, pageSize, offset.
get_youtube_subtitles_meta	1	Per-video subtitle track listing. Takes videoId (not channelId).
get_youtube_subtitles_download	3	Subtitle text for one video. Takes videoId, optional language (ISO 639-3).

Instagram creator data (7 + 1)

Creator-key: uniqueId (the handle, no @).

Tool	Cost	Returns
get_instagram_profile	2	Identity, followers, country, language, isBusinessAccount, linked socials, hashtags, account categories, plus the creator's niches.
get_instagram_contact	15	Email addresses.
get_instagram_performance	2	First-page image + reels engagement; consistency scores.
get_instagram_performance_history	3	Daily snapshots over the past N days. Takes pastDayRange.
get_instagram_audience	10	Age buckets, gender split, top countries.
get_instagram_content_detail	2	Recent images + reels with per-item engagement.
get_instagram_sponsorship	5	Sponsored content grouped by indexed brand (recent posts only).
list_instagram_niches	1	The IG NICHE taxonomy (~40K entries), paged. Instagram does NOT have a "topics" taxonomy. search, minChannelCount, pageSize, offset.

TikTok creator data (7 + 1)

Creator-key: uniqueId (the handle, no @).

Tool	Cost	Returns
get_tiktok_profile	2	Identity, followers, country, language, hashtags, plus the creator's niches.
get_tiktok_contact	15	Email addresses.
get_tiktok_performance	2	Recent videos engagement (views, likes, comments, shares); consistency scores.
get_tiktok_performance_history	3	Daily snapshots over the past N days. Takes pastDayRange.
get_tiktok_audience	10	Age buckets, gender split, top countries.
get_tiktok_content_detail	2	Recent videos with audio metadata, duet/stitch/commerce flags, per-item engagement.
search_tiktok_content	2 per page	Search individual VIDEOS by content-level filters (different from search_tiktok, which searches creators). NO isSponsored/partneredBrands (TT brand-attribution not implemented). Filter terminology uses diggs but response normalizes to likes.
list_tiktok_niches	1	The TT NICHE taxonomy (~40K entries), paged. TikTok does NOT have a topics taxonomy, and does NOT expose a per-brand sponsorship endpoint. search, minChannelCount, pageSize, offset.

Cross-platform differences cheat-sheet

Dimension	YouTube	Instagram	TikTok
Creator parameter	channelId (UC…)	uniqueId (handle)	uniqueId (handle)
Follower field	totalSubscribers	totalFollowers	totalFollowers
Has a topic taxonomy	✅ list_youtube_topics	❌	❌
Has a niche taxonomy	✅ list_youtube_niches	✅ list_instagram_niches	✅ list_tiktok_niches
Per-creator niches in /profile	✅	✅	✅
Per-creator topics in /profile	✅	❌	❌
Sponsorship per-brand endpoint	✅	✅	❌
Content types in /content-detail	videos + shorts	images + reels	videos
/content-detail cost	3	2	2
Performance windows	R20 + all-time (up to 800)	First-page	Recent
Engagement formula	(L+C+V) / subscribers	(L+C) / followers	(L+C+Shares) / followers
Subtitles endpoints	✅	❌	❌
Content-search endpoint	✅	✅	✅
Brand-side sponsor data	✅	✅	❌

Niche IDs are not interchangeable across platforms — id_vlog_PeopleBlogs (YT) and id_love_All (IG) live in different namespaces. Niche/topic IDs follow the pattern id_{slug}_{Category}, so you can group by category by splitting on the last _.

Response shape highlights

These are the fields that aren't obvious from the endpoint name but you'll reach for constantly. All confirmed against live responses.

/profile

Shared across YT/IG/TT:

• subscriberGrowth: { g7, g30, g90 } — % change in subscribers/followers over the last 7/30/90 days. Free trend signal — no need to call performance-history if you only want the headline number.
• hashtags: [{ name, contentCount }] — hashtags the creator uses (note: name carries the # on IG/TT).
• niches: ["id_vlog_PeopleBlogs", …] — per-creator niche IDs. To resolve the human-readable name + category + channelCount, cross-reference list_{platform}_niches.
• relatedCreators — accounts the platform itself recommends or lists as related to the creator. YT: UC channelIds of channels YouTube recommends alongside this channel's videos, most frequent first. IG/TT: handles, passed through as the platform provides them. On TikTok the list often includes the creator's own handle. Cheap way to expand a seed list.
• hasEmail — whether get_{platform}_contact would return an email. Request it via fields (0.1 credit) before paying 15 for contact.
• isAgencyRepresented — true when CreatorDB has a record of agency representation; false also covers creators with no record.
• lastPublishTime / lastDbUpdateTime — Unix-ms; pair them to know how stale the snapshot is vs how recently the creator posted.
• country — ISO 3166-1 alpha-3 (e.g. "USA", "JPN"). On IG this value is derived from a content classifier rather than a self-declared field, and can occasionally be wrong for creators with multi-country presence — cross-check against audienceLocations and the creator's bio if accuracy matters.

YT-only:

• topics: ["id_challenges_Comedy", …] — coarse topic IDs (~470 universe). Resolve via list_youtube_topics.
• totalViews — lifetime channel views, as shown on the channel's About panel.
• joinedDate — when the channel was created (Unix ms, day precision).
• Sponsored video / shorts CPM and rate bands (videoPrice, shortsPrice) are no longer on profile; they're on get_youtube_performance.
• categoryBreakdown: [{ category, share }] — share of recent content by YouTube native category.
• hasMemberOnlyContents — boolean.

IG-only:

• isBusinessAccount, isPrivateAccount — flags worth checking before promising audience data; private accounts can't be scraped.
• otherLinks — bio links array.
• imageLastPublishTime / reelsLastPublishTime — latest image post and latest reel (Unix ms); lastPublishTime is the later of the two.

TT-only:

• otherLinks — bio link (TikTok allows one).
• joinedDate — when the account was created (Unix ms).

/audience

Identical shape across platforms:

• audienceLocations: [{ country, share }] — top 6 countries with shares summing to roughly 1.0.
• audienceGender: { maleRatio, femaleRatio } — sums to ~1.0; binary split only.
• audienceAvgAge — integer.
• audienceAgeBreakdown: [{ ageRange, share }] — fixed buckets 13-17 | 18-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65+. Always 7 entries; placeholder rows are all-zero (see footgun list below).

/performance

The R20-vs-all distinction is YT-only:

• YT returns four sibling objects: videosPerformanceRecent, videosPerformanceAll, shortsPerformanceRecent, shortsPerformanceAll. "Recent" = R20 (last 20). "All" = up to 800. Each has likes/comments/views (with avg/median/min/max/percentile25/percentile75/iqr) and an engagement block.
• IG returns imagesPerformanceRecent + reelsPerformanceRecent. No all-time window.
• TT returns videosPerformanceRecent. No all-time window.
• Every engagement block ends with engagementConsistency: { cv, medianVsMean, topBottomRatio, consistencyScore, consistencyLevel }. consistencyScore is 0–100; consistencyLevel is "high" (81–100), "moderate" (51–80), or "low" (0–50). Requires ≥6 content pieces, otherwise the consistency block is absent.
• ranking block carries global, country, language percentile ranks for totalSubscribers/totalFollowers and avgEngagementRate — useful for "is this creator above average for their country" without separate benchmarking.
• recentVideosGrowth.g7/g30/g90 — engagement-rate delta over 7/30/90 days. Negative numbers mean engagement is declining.
• contentCountByDays: { 7d, 30d, 90d } — how many posts in each window (use to detect dormant creators).

/content-detail

Per-item objects across platforms:

• publishTime (Unix-ms), contentId, likes, comments, views (YT/TT only — IG images have no view count), engagementRate (rounded to 4 decimals).
• hashtags: ["#example", …] — already includes # prefix.

Platform-specific extras:

• YT: length (seconds), isMemberOnly, content mix includes both videos and shorts.
• IG: mentionedCreators — @-mentions in caption.
• TT: audioId, audioTitle, audioAuthor, audioAlbum, isDuetEnabled, isAd, length (seconds), shares. The audio block is the cheapest way to find trending sounds.

Freshness rule — content published within the last 4 days is excluded from all metric calculations (all platforms). Pinned-post rule — on IG/TT, a pinned post older than 90 days is excluded if it would be the oldest item in the sample.

/sponsorship

YT and IG only — TikTok does not have a per-brand sponsorship endpoint.

• sponsorList: [{ brandName, brandId, brandIgIds, sponsoredVideos, sponsoredVideosPerformance }].
• brandIgIds — the brand's IG handles. Use this to follow a brand from a sponsored creator back to the brand's own profile.
• sponsoredVideos includes each sponsored content's full per-item engagement (same shape as /content-detail).
• Important caveat — only scans the most recent ~20–30 posts and only detects brands already indexed in CreatorDB. An empty sponsorList is not proof the creator has no sponsors; it's "we didn't find indexed sponsors in their recent posts."

Search (search_{platform} and search_creators_nls)

Structured search response:

• creatorList: [{ displayName, uniqueId, channelId (YT only), avatarUrl, totalSubscribers | totalFollowers }] — minimal projection; hydrate with get_*_profile for full data.
• totalResults — total matching the filter set, not just the page.
• hasNextPage + nextOffset — pagination idiom. Pass nextOffset as the next request's offset to advance.

NLS response:

• Same creatorList shape as structured search, plus a platform: "youtube" | "instagram" | "tiktok" field telling you which platform the AI routed to.
• Streamed over SSE under the hood; the MCP layer collects the final data: event and returns it as one payload.
• Dynamic pricing — typically 1–10 credits depending on input + output token count.

/usage

• records: [{ date (YYYYMMDD), requestCount, totalQuotaUsed, endpoints: { …per-endpoint counts }, platforms: { …per-platform counts }, quotaByPlatform }].
• totalQuotaUsed can be fractional (e.g. 4.49 for an NLS call).
• endpoints keys are camelCase: getYoutubeProfile, getInstagramAudience, searchYoutube, getNLS, etc. Useful for building a spend dashboard.

Common footguns

• Placeholder demographics: when CreatorDB doesn't have real audience data, /audience returns the all-zero shape (audienceGender: { maleRatio: 0, femaleRatio: 0 }, age buckets all 0.0). Treat any row where male+female=0 as missing, not as "no gender data."
• Empty sponsorList ≠ no sponsors (see above).
• relatedCreators is unranked — order is not significance. Don't slice the first N and call them "top related"; sample or rerank by your own metric.
• Freshness lag — lastDbUpdateTime is when CreatorDB last refreshed. If it's older than ~14 days, the profile may not reflect recent breakout content.
• Niche channelCount drifts — list_*_niches is updated daily; don't cache it longer than that or your "creators in X niche" count will lag reality.
• Search the taxonomy, don't page it — list_*_niches returns one page at a time (100 by default, largest first) because the full taxonomies run to ~40,000 entries on Instagram and TikTok. Both are a single flat "All" category with no structure to browse, and the top 100 entries account for only ~18% of creator assignments, so paging rarely gets you anywhere. Pass search to resolve a phrase to niche names instead. Matching is whole-word, so skin will not find Skincare; CamelCase names are split (StreetFood matches street food) and common variants are folded (vloggers→vlog, japanese→japan). On TikTok ~44% of niches have under 100 creators — minChannelCount trims that tail.
• IG country is modelled, not self-declared — YouTube and TikTok return the country a creator set on their own profile; for Instagram, CreatorDB's location model supplies it, so IG has country coverage where the profile states nothing.

Filter reference (search tools)

Common fields across all three platforms:

• displayName — string, supports fuzzy
• uniqueId — string, exact
• country — string, ISO 3166-1 alpha-3 (e.g. "USA", "JPN", "GBR")
• mainLanguage — string, ISO 639-3 (e.g. "eng", "jpn", "zhs")
• hashtags — string (with # prefix on IG/TT)
• niches — string (use IDs from the platform's list_*_niches)
• mainAudienceLocation / mainAudienceAge / mainAudienceGender — string
• hasSponsors — boolean

Platform-specific:

• YouTube: totalSubscribers (number), topics (string from list_youtube_topics)
• Instagram / TikTok: totalFollowers (number)

Operators: >, <, = for numbers; =, in for strings; = for booleans. in takes an array of up to 100 values. pageSize max 100; filters max 10 per request.

Response envelope

Every tool returns the underlying CreatorDB V3 envelope:

{
  "data": { },
  "creditsUsed": 2,
  "creditsAvailable": 953270.5,
  "traceId": "abc-123",
  "timestamp": 1779722787120,
  "errorCode": "",
  "errorDescription": "",
  "success": true
}

On error, the envelope carries errorCode, error, message, and details. The MCP layer flattens that into a clean error message with a TraceId: line for support.

Development

npm run dev   # tsc --watch
npm run build # tsc once
npm start     # node dist/index.js

Source layout:

src/
  index.ts                 # registers all tools, stdio transport
  tools/
    account.ts             # 1 tool
    search.ts              # 4 tools (NLS + 3 platform creator searches)
    youtube.ts             # 12 tools
    instagram.ts           # 9 tools
    tiktok.ts              # 9 tools (incl. search_tiktok_content)
    sponsors.ts            # 8 tools (brand-side sponsor intelligence)
  util/
    api-client.ts          # fetch wrapper for REST + SSE
    response.ts            # MCP result formatter (credits, errors)

Getting help

• Bugs / feature requests / new endpoint coverage: open an issue at https://github.com/CreatorDB/creatordb-mcp-server/issues
• API key / data questions: [email protected]
• Just trying to install it on your machine? See SETUP.md — a 5-minute guide aimed at end users rather than contributors.

License

MIT