Put a Senzing Expert in Your Toolbox
The Senzing MCP Server
What It Is
The Senzing® MCP (Model Context Protocol) server bridges AI assistants like Claude with the deep technical knowledge required to implement entity resolution. Instead of hunting through documentation, developers ask natural-language questions and get authoritative, Senzing-specific answers in real time.
What It Does
The server covers the full Senzing developer journey across four key areas:
- Data mapping: An interactive workflow for profiling, planning, field mapping, code generation, and QA validation, for even the most complex data sources.
- SDK development: Produces working scaffold code in Python, Java, C#, or Rust for common workflows such as record ingestion, entity search, redo processing, and more. Includes searchable access to ~30 GitHub repositories of working code examples.
- Troubleshooting: Covers all Senzing error codes with causes and resolution steps.
- Documentation: Indexes Senzing’s complete documentation library — entity specification, SDK guides, quickstart guides for Docker/AWS/Azure, database tuning, pricing, and more — all searchable in one place.
Why It’s Valuable
Entity resolution implementations have steep learning curves. Developers often have to spend significant time deciphering data mapping specs, understanding flag combinations, debugging errors, and tracking down working code examples across multiple repos. The Senzing MCP Server puts expert-level guidance directly inside the tools you already use. What used to take days of doc-hunting now takes seconds. Think of it as your own Forward Deployed Engineer (FDE) — a Senzing expert available on demand, whenever you need it.
No source data is sent to Senzing. The server operates on pre-fetched documentation and never connects to a live Senzing instance. Your data stays between you and your AI client — Senzing never sees it.
How to Get Started
The Senzing MCP Server works with any MCP-compatible AI client. No Senzing installation is required. Setup takes minutes.
Follow your AI client’s instructions for adding an MCP server and use this URL:
https://mcp.senzing.com/mcp
Once connected, start with: “What capabilities does the Senzing MCP Server have?”
Pro tip: Prefix your questions with “Use the Senzing MCP Server to…” This ensures your AI uses the MCP tools rather than answering from its general knowledge. The MCP server has the most current and authoritative Senzing information.
From there, you interact with it conversationally. Ask it anything:
- How does Senzing ER work?
- What databases does Senzing support?
- What does error SENZ0042 mean?
- What flags can I use on a get_entity call, and what do they do?
Or put it to work:
- Use the Senzing mapping workflow to map this file to Senzing JSON
- Use the Senzing scaffold tool to generate Python code to load records
We Want Your Feedback
We’re continuously updating the Senzing MCP server to deliver better answers and broader coverage. If it ever falls short on a question, we want to know — reach out at [email protected].
Try it now and see how fast you can go from raw data to resolved entities!
