PinMeTo Location MCP

PinMeTo Location MCP bridges the gap between rich, location‑centric analytics and conversational AI. By exposing a set of tools that pull metrics such as impressions, clicks, ratings, and other engagement signals from the PinMeTo platform, the server lets Claude and similar assistants answer nuanced questions about how a business performs across different channels—Google, Facebook, Apple, and more. Developers no longer need to manually export CSVs or write custom API wrappers; instead, the MCP turns data queries into natural‑language actions that can be invoked directly within a chat.

The server’s value lies in its ability to translate complex data into actionable insights on demand. For example, a marketing manager could ask the assistant, “How did our new product launch perform in New York over the last month?” and receive a concise summary that includes key metrics, trend visualizations, and recommended next steps—all without leaving the conversation. This real‑time analytics capability accelerates decision making, reduces context switching, and empowers teams to iterate faster on campaigns or store‑level strategies.

Key features of the PinMeTo MCP include:

• Multi‑source data retrieval from Google, Facebook, Apple, and the core PinMeTo dataset.
• Rich metric coverage such as impressions, clicks, ratings, and conversion events.
• Summarization tools that condense raw numbers into narrative insights suitable for executive briefings.
• Custom prompts and sampling controls that let developers fine‑tune how the assistant presents results, ensuring clarity and relevance.
• Secure credential handling via environment variables, keeping API keys out of the codebase.

Typical use cases span marketing analytics, retail operations, and customer experience teams. Retail chains can monitor foot traffic trends across locations; digital marketers can compare ad channel performance in a single query; and support teams can surface customer sentiment data for faster issue resolution. Because the MCP operates as a first‑class tool in Claude’s ecosystem, it fits naturally into existing AI workflows—whether the assistant is drafting reports, coaching sales reps, or orchestrating automated dashboards.

What sets PinMeTo apart is its focus on location intelligence combined with a developer‑friendly MCP interface. The server abstracts away the intricacies of PinMeTo’s API, delivering clean, ready‑to‑use tools that integrate seamlessly into conversational AI. This combination of domain expertise and protocol simplicity gives teams a powerful way to embed actionable, location‑based insights directly into their AI‑driven workflows.