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  • November 13, 2026

Reputation Launches MCP Server

Reputation, a provider of reputation intelligence, has launched the Reputation MCP Server, a read-only connector that brings live reviews, listings, and RepScore into artificial intelligence assistants like Claude, ChatGPT, Microsoft Copilot, and Gemini. Connected assistants can analyze what customers say about every location alongside the sales, staffing, traffic, and operations data they already access.

Reputation MCP Server is built on the Model Context Protocol (MCP), the open standard for connecting AI assistants to business systems. It was designed specifically for multi-location companies in automotive, healthcare, property management, food and beverage, and retail.

Teams can also put analysis on a schedule, with an AI agent briefing regional leaders weekly on locations where reputation, sales, and traffic are moving together.

The connector runs on Reputation's Unified Data Layer. It unifies more than 10 billion customer signals, including more than 600 million reviews from more than 200 sources, into one dataset, so assistants can compare every location on a consistent basis and against a company's own numbers. RepScore, Reputation's proprietary 0–1000 score built from nine components, gives assistants a single trusted measure for each location, group, or region, along with the reviews that explain it.

The server is read-only: it cannot respond to reviews, edit listings, or change anything in accounts. There are no shared keys and no new data store. Reputation data is combined with other business data inside the customer's own AI environment, and administrators can revoke access centrally at any time.

"Every multi-location business holds two halves of the same answer: what customers are saying and how each location is performing," said Joe Burton, CEO of Reputation, in a statement. "The Reputation MCP Server puts those halves together inside the AI tools enterprises already use. Anyone can build a connector. Only Reputation can connect it to one dataset, rebuilt for AI and governed by the permissions IT has already approved."

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