The Pinmeto Location MCP server serves as a vital link between the PinMeTo platform and advanced AI agents, including large language models. It enables AI agents to interact directly with a brand's multi-location business data, encompassing performance metrics, profile details, and review insights. Built primarily with TypeScript, this server functions as a Model Context Protocol (MCP) server, designed to make location data actionable for AI clients. Its purpose is to bridge the gap, allowing AI to read, audit, and act on crucial business information.

What does Pinmeto Location MCP connect to?

The Pinmeto Location MCP server acts as a connector to the PinMeTo platform, establishing a bridge between AI agents and a PinMeTo account. This connection allows AI agents to interact with business data, including multi-location information. As an MCP server, it enables AI agents to read, audit, and act on a brand's various data points. This includes performance metrics, profile information, and review insights, making it a central point for AI-driven data operations.

Core features and tools

The MCP server exposes a collection of tools that AI agents can use to access specific data points. These tools correspond to various endpoints within the PinMeTo API, covering permissions such as Read Locations and Listings Insights. While the documentation mentions insights tools that support time aggregation, the exact callable tool names for AI clients are not explicitly detailed. The server allows AI agents to interact with data, supporting operations that require access to business location information and performance metrics.

Who is it for?

The Pinmeto Location MCP server is for developers, advanced users, multi-location brands, marketing teams, local managers, and enterprise stakeholders. It supports those who need to connect AI agents with location-specific business data for analysis and action. This server helps organizations use AI to manage and understand their presence across multiple locations. Skip this if you do not manage multi-location brand data or use AI agents.

How to get started

Access is granted through a standard OAuth authorization flow for remote servers. For local STDIO transport, authentication may use environment variables or system credentials.

Use cases

• Analyzing performance and comparing metrics across platforms using natural language queries, such as retrieving Google, Facebook, and Apple insights for a specific location.
• Performing operational analysis of a location, focusing on contact information, hours, and areas for improvement.
• Identifying top-rated locations and notable trends in their recent reviews.
• Generating executive-ready location analytics reports (PDF & PowerPoint) from PinMeTo data using Claude Code.

The Pinmeto Location MCP server offers a direct connection between AI agents and PinMeTo location data, enabling advanced analytical and operational workflows. It supports standard authentication methods and is compatible with several prominent AI clients and platforms. This server is a valuable asset for brands seeking to automate and enhance their multi-location data management with AI. Start by obtaining API credentials from your PinMeTo account settings to begin the OAuth flow.