Unofficial Mapy.com MCP Server

Overview

The Unofficial MCP server for the Mapy.cz API brings the rich geographic and cartographic services of Seznam’s mapping platform into the world of AI assistants. By exposing Mapy.cz’s REST endpoints as MCP resources, the server lets Claude or other MCP‑compliant assistants query maps, retrieve place details, generate routes, and embed dynamic geographic data directly into conversations. This eliminates the need for developers to write custom wrappers or handle API authentication manually, enabling rapid prototyping of location‑aware applications.

At its core, the server translates standard Mapy.cz queries into MCP requests. When an AI assistant asks for a place name, the server fetches the relevant data from Mapy.cz’s geocoding service and returns a structured JSON payload. For route calculations, it calls the routing API, delivering turn‑by‑turn directions or distance metrics. Because Mapy.cz offers detailed street maps, satellite imagery, and public transport data for the Czech Republic, this MCP server provides a single point of integration for developers building travel planners, navigation assistants, or local recommendation engines.

Key features include:

• Geocoding and reverse geocoding – Convert addresses or coordinates into human‑readable place names and vice versa.
• Route planning – Generate driving, walking, or cycling routes with turn instructions and estimated times.
• Map tile retrieval – Access high‑resolution map tiles for custom rendering or overlay in web and mobile UIs.
• Public transport schedules – Pull real‑time bus, tram, and train information for itinerary planning.
• Rich metadata – Retrieve POI categories, elevation data, and map layer details.

These capabilities are exposed through straightforward MCP endpoints such as , , and . The server handles authentication tokens, rate limiting, and error mapping so that AI assistants can focus on natural language interpretation rather than API plumbing. Developers can embed these calls into prompt templates, allowing users to ask questions like “Show me the fastest route from Prague to Brno” and receive a concise, map‑based answer.

Real‑world use cases span from travel chatbots that provide up‑to‑date navigation advice, to real estate assistants that display property locations on interactive maps. In logistics, the server can calculate optimal delivery routes and integrate them into AI‑driven fleet management dashboards. Because Mapy.cz’s data is specific to the Czech Republic, this MCP server is particularly valuable for applications targeting that market, ensuring accurate local context and compliance with the platform’s terms of service.

In summary, the Unofficial Mapy.cz MCP server turns a complex mapping API into an AI‑friendly service. It abstracts away authentication, data formatting, and error handling while delivering powerful geographic functionality. Developers leveraging MCP can rapidly prototype location‑centric features, enrich user interactions with maps and routing data, and maintain compliance with Mapy.cz’s licensing terms—all through a clean, conversational interface.