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KOLens MCP server — influencer data for Claude & AI agents

最終更新: 2026-06-10

要点

KOLens exposes its entire influencer-research workflow as a hosted MCP (Model Context Protocol) server at https://kolens.ai/mcp — 26 tools covering keyword discovery on TikTok / Instagram / X / Douyin, creator profiles and audience data, lists, watchlist, growth alerts, video tracking and outreach drafting. Claude.ai and Claude Code connect via OAuth 2.1 in about a minute (no install); any other MCP client can authenticate with a Bearer API key. Scrape tools spend the same credits as the web app; read tools are free.

Why MCP instead of the REST API

MCP is the open protocol AI assistants use to call external tools. Connecting KOLens over MCP means Claude can run the whole research loop itself — search a niche, vet the results, build a shortlist, draft outreach — from one natural-language instruction, choosing the right tools and chaining them without you writing any integration code. The REST API (see the API reference) remains the right choice for custom software; MCP is the right choice for agents and assistants.

Connect from Claude.ai (no install)

  1. In Claude.ai, open Settings → Connectors → Add custom connector.
  2. Paste the connector URL: https://kolens.ai/mcp
  3. Claude opens the KOLens consent page — approve with your KOLens account. The OAuth 2.1 flow (dynamic client registration + PKCE) issues a scoped token automatically; you never copy a secret.
  4. Ask Claude something like: “Find 50 TikTok creators for ‘home fitness’, keep the ones with email and ≥4% engagement, and add the top 10 to a list called Q3 Fitness.”

ヒント

The /connect page walks through this flow with screenshots and a copy button for the connector URL.

Connect from Claude Code

One command in your terminal
claude mcp add --transport http kolens https://kolens.ai/mcp

Claude Code triggers the same OAuth consent in your browser on first use. After that, the KOLens tools are available in every session — useful for research scripts, scheduled agent runs, or wiring KOL data into a build pipeline.

Connect any other MCP client (API key)

Self-configured clients (Cursor, custom agents, MCP SDKs) can skip OAuth and send a Bearer token instead. Create a key in the web app under Account → API keys, then point your client at the endpoint with an Authorization header:

Generic MCP client config
{
  "mcpServers": {
    "kolens": {
      "type": "http",
      "url": "https://kolens.ai/mcp",
      "headers": { "Authorization": "Bearer kol_xxxxxxxxxxxx" }
    }
  }
}

The 26 tools

Tool names are stable identifiers — safe to reference in prompts, skills and agent code. Grouped by workflow:

GroupToolsCredits
Discovery & scrapingscrape_tiktok_by_keyword · scrape_instagram_by_hashtag · scrape_x_by_keyword · scrape_douyin_by_keyword · bulk_enrich_kolsMetered — 1 credit ≈ 10 results, pre-charged
Database & vettinglist_kols · get_kol_profile · find_similar_creators · get_audience_snapshot · get_kol_activity_summary · get_search_insightsFree (activity-summary force refresh: 1 credit)
Listslist_kol_lists · get_list_membersFree
Watchlist & alertslist_watchlist · add_to_watchlist · remove_from_watchlist · list_alerts · mark_alert_readFree
Video trackingtrack_video · get_video_tracking · compare_videos1 credit per first capture; reads free
Jobs & plansget_job_status · list_recent_jobs · list_discovery_plansFree
Outreach AIdraft_outreach · summarise_conversationFree

OAuth tokens carry scopes: read:kols (all read tools), write:lists (watchlist, lists, alerts, CRM mutations) and run:scrape (anything that spends credits). The consent screen shows which scopes a client requests.

Recipes — what to ask for

  • Niche sweep: “Scrape 100 TikTok videos for ‘pet grooming’, then list the creators with email, ≥4% engagement and 10k–250k followers, sorted by average views.” (scrape_tiktok_by_keyword → get_job_status → list_kols)
  • Vet before paying: “Pull @handle's profile, audience snapshot and activity summary — is the audience really US-based and is the account authentic?” (get_kol_profile → get_audience_snapshot → get_kol_activity_summary)
  • Monday digest: “Summarise my watchlist changes this week and flag anyone rising fast.” (list_watchlist → list_alerts)
  • Campaign check: “Compare the three tracked videos from our March campaign against the competitor's placement.” (compare_videos)
  • Outreach: “Draft a collab email to @handle pitching our vegan protein brand, friendly tone.” (draft_outreach — the draft is returned to you; KOLens never sends email on your behalf.)

メモ

Scrape tools spend real credits, so agents should confirm cost-bearing actions with you. Claude does this by default; for unattended automations, set explicit budgets in your instructions.

よくある質問

Is the MCP server free to use?

The connection is free and read tools cost nothing. Tools that scrape (scrape_*, bulk_enrich_kols, track_video first capture) spend the same credits as the web app — 1 credit ≈ 10 results. There is no separate MCP plan.

Which MCP clients are supported?

Any client that speaks MCP over Streamable HTTP: Claude.ai custom connectors and Claude Code via OAuth 2.1, plus Cursor, the MCP SDKs and self-built agents via Bearer API key. Cowork users can alternatively install the bundled plugin (see the plugin guide).

What's the difference between /connect, the plugin and this page?

/connect is the 1-minute setup page for Claude.ai users. The Cowork plugin bundles a local MCP server plus skills for Cowork desktop. This page is the full technical reference — auth options, scopes, the complete tool list and usage recipes.

Can my agent accidentally burn all my credits?

Scrape tools pre-charge per call (a 50-video search = 5 credits) and fail with a clear insufficient-credits error at 0 balance — there is no overdraft. Failed jobs auto-refund. For unattended runs, cap budgets in the agent's instructions.

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