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@quiki/mcp

v0.3.1

Published

Quiki.io MCP server — whoami, scan_url, get_scan, list_recent_videos, get_video, bulk_import, bulk_import_estimate, get_bulk_import_status over stdio.

Readme

@quiki/mcp

MCP stdio server for Quiki.io. Exposes the full Quiki toolkit to Claude Desktop / Claude Code / ChatGPT / Gemini / any MCP-capable agent:

  • whoami — verify the token and check subscription tier
  • scan_url — submit a TikTok, YouTube, or Instagram URL for scanning
  • get_scan — poll a previously submitted scan
  • list_recent_videos — list the most recently scanned videos in your library
  • get_video — fetch the full record (metadata, transcript, AI analysis) for one video
  • bulk_import — import a TikTok, YouTube, or Instagram data export
  • bulk_import_estimate — preview the credit cost of a bulk import before committing
  • get_bulk_import_status — poll a running bulk import

Requires a Quiki API token from a PRO (credit) plan or higher. Generate one in your account under Account > API keys.

Claude Desktop / Claude Code configuration

Add the following to your mcpServers config (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "quiki": {
      "command": "npx",
      "args": ["-y", "@quiki/mcp"],
      "env": { "QUIKI_API_TOKEN": "qk_live_..." }
    }
  }
}

Environment variables

| Variable | Default | Description | |----------|---------|-------------| | QUIKI_API_TOKEN | — | Required. Raw PAT (qk_live_...). | | QUIKI_API_BASE_URL | https://api.quiki.io/api/v1 | Override for staging / local dev (e.g. http://localhost:3000/api/v1). |

Development

npm install          # from repo root
npm run build        # from packages/mcp
npm test             # from packages/mcp