Senzing

The Senzing® connector is a forward-deployed engineer in a box: ask it anything about Senzing. Every answer is grounded in Senzing's own documentation and indexed code rather than model training data. Use it to deduplicate lists, match or merge records across sources, screen against watchlists, and produce the resolved entities that golden records for MDM and customer 360 are built from. Because it carries the full runbook, you don't drive it one step at a time. Hand Claude a few unmapped data files and describe what you want, and it can map your sources, deploy and load Senzing, resolve and analyze the data, and build an interactive explorer over the results. What is normally a multi-week integration becomes an afternoon, with no entity-resolution background required. You just ask. Then start answering who is who and who is related to whom, or build an entity-resolved knowledge graph that surfaces the connections nobody declared. Every resolution carries its evidence: why two records came together, or why they didn't. Claude can surface that explanation for any match you question. You can ask Claude to: * "Match these payment records to my customers and show me which ones didn't match." * "Dedupe this list of people and show me the duplicates it found." * "Here are three customer files from different systems. Build me a demo that finds the same people across them and lets me explore the matches." * "Build me a service that matches incoming payment records to my customer master as they arrive." * "How would entity resolution help with my problem, and what would it cost?" The connector needs no live Senzing instance and no authentication, and sends no user data or PII to Senzing. Senzing itself is a headless developer library that Claude deploys locally in your environment. Data mapping and resolution both run there, never on Senzing's servers, and Senzing contains only the data you load into it. For the best experience, use Claude Code, or allowlist mcp.senzing