Uberall MCP Server

Uberall MCP Server Overview

The Uberall Model Context Protocol (MCP) server bridges the gap between large‑language models and the comprehensive business‑listing platform Uberall. By exposing the Uberall API through MCP, AI assistants such as Claude, Cursor, or VS Code Copilot can perform complex operations—creating, updating, and querying listings; managing location data; and coordinating social‑media posts—directly from the conversational interface. This eliminates the need for developers to write custom integration code, allowing them to focus on higher‑level business logic while the server handles authentication, request routing, and response formatting.

At its core, the server translates MCP tool calls into authenticated HTTP requests against Uberall’s endpoints. It manages OAuth‑style access tokens, automatically injects the necessary headers, and converts JSON payloads into the format expected by the model. The result is a seamless workflow where an AI assistant can, for example, “update the phone number of all Chicago locations” or “publish a promotional post to Instagram and Facebook” with a single prompt. Developers benefit from reduced boilerplate, consistent error handling, and the ability to leverage Uberall’s full feature set without exposing credentials in client code.

Key capabilities include:

• Unified Listing Management – Create, read, update, and delete business listings across thousands of directories from a single command.
• Location & Geo‑Data Operations – Query, batch‑update, or geocode location coordinates to ensure accurate mapping and search visibility.
• Social Media Publishing – Schedule, post, or retract content across multiple social‑media channels supported by Uberall.
• Rich Contextual Prompting – Supply dynamic context to the model, such as current listing status or campaign metrics, enabling more informed responses.

Typical use cases arise in digital‑marketing agencies, retail chains, and service providers that maintain a global footprint. An agency might ask an AI assistant to “sync all new store openings from the internal database to Uberall” or “generate a weekly report of listing performance across regions.” A retailer could automate the process of “refreshing opening hours for holiday seasons” or “pulling sentiment scores from review platforms.” In each scenario, the MCP server ensures that calls are authenticated, rate‑limited appropriately, and that responses are returned in a format the assistant can embed directly into a conversation.

Integration is straightforward: after configuring environment variables for the Uberall API URL and access token, developers add a single MCP server entry to their AI tool’s configuration file. Once registered, the assistant can invoke any of the exposed tools via natural language, with the server handling all low‑level communication. This tight coupling not only speeds development but also guarantees that sensitive credentials remain on the server side, mitigating security risks.

In summary, the Uberall MCP Server empowers AI assistants to orchestrate complex business‑listing workflows with minimal friction. By centralizing API access, standardizing request handling, and exposing a rich set of tools, it transforms routine operational tasks into conversational actions—making AI a true partner in digital‑presence management.