Mcp Server Location

Overview

The Location MCP Server is a lightweight, protocol‑compliant service that bridges AI assistants with geospatial data. By exposing two core tools— and —it allows a Claude or similar model to translate raw IP addresses or coordinate pairs into fully resolved, human‑readable addresses. This eliminates the need for clients to embed external API calls or maintain separate lookup services, streamlining development workflows and ensuring consistent data handling across projects.

What problem does it solve? Many AI applications need to contextualize user interactions with location information, whether for personalization, compliance, or content recommendation. Traditional approaches involve calling third‑party services directly from the client or embedding complex lookup logic into the assistant’s code. The MCP server centralizes this responsibility, providing a single, stable endpoint that adheres to the Model Context Protocol. Developers can therefore delegate location resolution to a trusted, versioned service without compromising on latency or data quality.

Key capabilities are delivered through clear, typed interfaces. The tool accepts an IPv4 or IPv6 string and returns a structured response containing country, province, city, district, and geographic coordinates. The tool accepts numeric latitude and longitude values and returns a detailed address hierarchy, including optional fields such as district details or area names. Both tools are built on Meituan’s Open API, ensuring reliable coverage across global regions while maintaining type safety with TypeScript. The server’s strict compliance with MCP standards guarantees that it can be seamlessly integrated into any AI workflow that supports the protocol, from single‑turn queries to complex multi‑step reasoning chains.

Real‑world use cases abound. A customer support bot can automatically fetch the user’s country and city from their IP to tailor language settings or service availability. A travel recommendation engine can reverse‑geocode coordinates from a map interaction to provide contextual prompts or local attractions. Compliance‑heavy industries can use the server to verify that users are operating within permitted jurisdictions before proceeding with sensitive actions. In all scenarios, the server reduces boilerplate, centralizes error handling, and keeps data sources isolated from the assistant’s core logic.

Because it is a dedicated MCP server, developers benefit from zero‑configuration integration: once the service is running, any compliant AI client can invoke its tools by name. The clear separation of concerns means that updates to the underlying Meituan API or changes in data fields can be managed independently of the assistant, ensuring long‑term stability. The server’s TypeScript foundation also aids in catching schema mismatches early during development, while its MIT license encourages open adoption and community contributions.