Tamr MCP Server Demo: Trusted Data for AI Agents

You ask your AI agent about one of your top customers. It comes back with five conflicting records. But which one is right?

It doesn’t matter which LLM, agent platform, or workflow you use. Every AI agent depends on the same thing: the underlying data. When that data is duplicated, incomplete, or out of date, your agents inherit these errors.

Tamr continuously improves the data. Our AI-native MDM platform continuously resolves, cleans, and enriches records from any number of sources into trusted golden records in real time.

Then, Tamr’s MCP server delivers that data to your agents through one open, governed connection.

Let’s see how it works in Claude. Connect it straight to Salesforce and Snowflake and ask “What do you know about Robert Scully?” Claude finds several Robert Scullys, with different or missing email addresses and phone numbers and spelling variations. You can’t trust the answer because the data is fragmented.

Now connect Claude to Tamr’s MCP server instead and ask the same question. This time, Claude retrieves one complete, trusted profile, and tells you who Robert is, where he works, how to reach him, and how he connects to your business. But what happens if you know that the phone number on file is incorrect? Just tell Claude.

Because the connection is bidirectional, Claude can propose an edit to the golden record. But agents don’t simply change master data. Every edit lands in Curator Hub for a data steward to review. Once approved, the golden record is updated for every system and agent that uses it.

With trusted context, Claude can go even further. It combines Tamr’s customer data with other tools, like Google Maps, to find a coffee shop near Robert’s office, and drafts a personalized meeting request grounded in facts, not guesswork.

Whatever agents you build, the quality of their work starts with the quality of the underlying data. With Tamr, you can be confident that data is complete, accurate, and ready for every agent you deploy.