# Senzing Entity Resolution

> Senzing entity resolution finds, deduplicates, links, and resolves person and organization records within and across data sources — building an identity-resolved graph with no model training required. Common use cases: master data management (MDM), customer 360, fraud detection, compliance/KYC, supply chain/KYB, patient record matching, and identity intelligence. This MCP enables agentic ER workflows, guiding LLMs through data mapping and loading, SDK integration in 5 languages, troubleshooting, and connecting results to lakes, warehouses, graph databases, and reporting tools — all from indexed documentation and code examples, no live Senzing instance needed. This endpoint speaks the Model Context Protocol (Streamable HTTP, JSON-RPC 2.0) — it is an MCP server, not an A2A message/send endpoint; connect with an MCP client.

- **Domain**: `mcp.senzing.com`
- **Provider**: Senzing, Inc. (https://senzing.com)
- **A2A protocol version**: 1.0
- **Kind**: a2a_agent
- **Live-responds (last probe)**: None
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 90%

## Skills
- **Data Mapping** — Prepare source data for entity resolution so Senzing can match and link records. Interactive 8-step workflow: profile source fields, plan entity structure, map 
- **SDK Integration** — Build entity resolution into your application. Scaffold working code, set up the SDK, and get API reference across Python, Java, and C# (official SDKs) plus Rus
- **Documentation & Examples** — Find answers to Senzing entity resolution questions. Full-text search across indexed documentation and 51 GitHub repositories with real code examples for config
- **Error Troubleshooting** — Diagnose and resolve Senzing errors. Look up 461 indexed error codes with root causes, resolution steps, and links to related documentation.
- **Sample Data** — Explore real-world entity resolution data to evaluate matching quality. CORD dataset records from Las Vegas, London, and Moscow, plus the Senzing demo truth set
- **Reporting & Analytics** — Extract insights from entity resolution results. SDK patterns for data export, SQL analytics queries, data mart schemas, dashboard design, and resolution qualit
- **Platform Engineering & Deployment** — Design and operate Senzing in production. Cloud reference architectures (AWS, Azure, GCP), backing-database selection and sizing, replication and read replicas,
- **Evaluation & Demos** — Evaluate Senzing fast with no infrastructure. Build a quick local demo from your own data, run entity resolution on real sample data, and evaluate match quality

## URLs
- Agent card: https://mcp.senzing.com/.well-known/agent-card.json
- Page (HTML): https://agenstry.com/agents/mcp.senzing.com
- Documentation: https://mcp.senzing.com/