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.

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 to Senzing attributes, generate validated JSON output, and optionally test with the SDK.
  data-mappingentity-resolutionetljsonvalidationdeduplicationrecord-linkage
• 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 Rust and TypeScript (community wrappers), on 5 platforms. Includes V3-to-V4 migration guidance for existing Senzing integrations.
  sdkcode-generationpythonjavacsharprusttypescriptintegrationmigration
• Documentation & Examples
  Find answers to Senzing entity resolution questions. Full-text search across indexed documentation and 53 GitHub repositories with real code examples for configuration, deployment, and API usage.
  documentationsearchknowledge-basegithubexamplesconfigurationdeployment
• Error Troubleshooting
  Diagnose and resolve Senzing errors. Look up 461 indexed error codes with root causes, resolution steps, and links to related documentation.
  errorstroubleshootingdebuggingdiagnosticssupport
• 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, with discovery and pagination.
  sample-datacordtestingentity-resolutiondatasetsevaluationpoc
• Reporting & Analytics
  Extract insights from entity resolution results. SDK patterns for data export, SQL analytics queries, data mart schemas, dashboard design, and resolution quality evaluation across 5 languages.
  reportingvisualizationanalyticsdashboardsqlexportdata-quality
• Platform Engineering & Deployment
  Design and operate Senzing in production. Cloud reference architectures (AWS, Azure, GCP), backing-database selection and sizing, replication and read replicas, high availability and failover, and infrastructure-as-code.
  platform-engineeringdeploymentcloudawsazuregcpkubernetesdatabasereplicationhigh-availabilityterraform
• 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 on the free tier.
  evaluationdemopoctrialquickstartsample-dataentity-resolution

How to call

https://mcp.senzing.com/mcp

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