Bring Credit Consensus Data Into Your AI Workflows With the Credit Benchmark MCP

Credit Benchmark Data, Delivered Wherever You Work With AI

More credit teams now do their analysis inside AI assistants, and the data they rely on needs to be available there too. In Credit Benchmark’s latest product webinar, Product Manager Ryan Hoffman introduced the Credit Benchmark MCP, a new way to give AI assistants like Claude and Copilot direct, authenticated access to Credit Benchmark’s consensus data.

What Was Covered

Hoffman explained what the Model Context Protocol is and how the Credit Benchmark MCP fits into an AI workflow, from single-name lookups to portfolio-level analysis and bulk data extracts. He also previewed interactive entity views that render directly in the chat, and addressed the questions most firms ask first about AI: how accurate the data is, and what happens to their information.

See It in Action

The session includes a live demo showing the MCP matching entities, pulling consensus ratings and building a custom aggregate on the fly, all from plain-language prompts.

Getting Started

The Credit Benchmark MCP is currently in alpha, with access available on request. Watch the webinar to find out how to connect, then contact the Credit Benchmark support team or your account manager to join.