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Kakao Mobility & Kakao Map MCP Server

MCP Server

Seamless Korean navigation via MCP

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Updated Sep 25, 2025

About

Provides geocoding, route planning, and future‑time directions for Kakao Map and Mobility APIs, all wrapped in a Model Context Protocol compliant interface.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MseeP.ai Security Assessment Badge

The Kakao Mobility & Kakao Map MCP Server bridges the gap between AI assistants and South Korea’s leading mapping ecosystem. By exposing Kakao Map’s geocoding, routing, and traffic APIs through the Model Context Protocol, it allows developers to incorporate precise location-based intelligence into conversational agents without dealing with authentication or API quirks. This server solves the common pain point of integrating regional map services into AI workflows—especially for applications that need up‑to‑date traffic data, multi‑modal routing, or address resolution in Korean.

At its core, the MCP server offers five specialized tools that map directly to Kakao’s REST endpoints. The tool turns an address or place name into latitude‑longitude pairs, ensuring that downstream services receive accurate coordinates. The routing tools—, , and the time‑specific —provide optimal paths for walking, driving, or public transit, automatically factoring in real‑time traffic. Finally, lets agents retrieve a full address when only a landmark or business name is known. Each tool returns data in a consistent JSON format, making it trivial for AI assistants to parse and present results.

Developers can leverage these capabilities in a variety of scenarios. A travel assistant could ask, “Show me the fastest route from Seoul Station to Gyeongbokgung Palace,” and the MCP server would return a step‑by‑step navigation plan that accounts for current congestion. A delivery bot could geocode customer addresses and compute optimal pickup routes, while a real‑estate chatbot might display nearby amenities by querying place names. Because the server follows MCP specifications, any Claude‑compatible AI can invoke these tools with a simple function call, and the assistant can seamlessly incorporate the returned data into its response.

Integration is straightforward: a client sends an MCP request specifying the tool name and parameters, receives a structured response, and then feeds that back into the conversational context. The server’s compliance with MCP also means it can be hosted on Smithery or any other MCP‑aware platform, ensuring scalability and security. The inclusion of a future‑time routing tool is a standout feature; it enables predictive travel planning, which is invaluable for logistics and event‑planning applications that need to anticipate traffic conditions weeks in advance.

In summary, the Kakao Mobility & Kakao Map MCP Server delivers a ready‑to‑use bridge between AI assistants and Korea’s most comprehensive mapping service. By abstracting authentication, handling localization nuances, and providing a rich set of routing tools, it empowers developers to build smarter, location‑aware applications that can respond in real time to users’ geographic queries.