How is data privacy handled?
All Personally Identifiable Information (PII) is encrypted at rest and in transit. Search results are automatically purged after 24 hours. The demo uses anonymous usage and is GDPR/CCPA compliant.
@GautaVaid
Basic information
Professional skip tracing demo built with 6-server MCP stack - Locate individuals and gather contact information with AI-powered confidence scoring
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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A proof-of-concept demonstration platform that showcases automated skip tracing for repo companies, debt collectors, and legal professionals. The system aggregates data from over 20 verified sources to locate individuals and gather contact information with professional confidence scoring.
Clone the repository, install backend and frontend dependencies, configure environment variables (APIFY_TOKEN, SUPABASE_URL, SUPABASE_ANON_KEY), run database migrations and seed, then start the backend and frontend dev servers. The frontend is at http://localhost:3000 and the backend API at http://localhost:8000.
All Personally Identifiable Information (PII) is encrypted at rest and in transit. Search results are automatically purged after 24 hours. The demo uses anonymous usage and is GDPR/CCPA compliant.
Search API: 10 requests per minute per IP. Export API: 5 requests per minute per IP. Analytics API: 100 requests per minute per IP.
Node.js 18 or later, Git, a Supabase account, an Apify account, and Claude Desktop with MCP configuration are required.
The project uses six MCP servers: Filesystem, Git, GitHub, Playwright, Apify, and Supabase.
MIT License.
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