How much does Seoul Essentials cost?

Seoul Essentials uses a free pricing model.

What are the main advantages of Seoul Essentials?

Native MCP support allows for immediate integration with AI agents without custom code.. Accesses over 22,000 official data points, including specialized filters for foreign-language pharmacies.. Provides granular transit data, including subway timetables, which are typically difficult to parse from raw government feeds.. Privacy-focused and open-source, allowing for self-hosting and transparent data handling.. Highly localized accuracy, using GPS coordinates and district-level (Gu) filtering..

What are the drawbacks of Seoul Essentials?

Strictly limited to the Seoul metropolitan area, offering no utility for other South Korean cities.. No traditional mobile app or GUI for direct consumer use (requires an MCP-compatible client).. Dependency on the Seoul Open Data Plaza; if official government APIs change, the server requires manual updates.. Relatively new project with a smaller community compared to established mapping APIs..

Seoul Essentials

Pricing: Free

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Updated May 1, 2026

TL;DR

Seoul Essentials is an open-source Model Context Protocol (MCP) server that provides structured, real-time data on public facilities and transit in Seoul. It is designed for AI agents and developers building travel or utility applications that need to find restrooms, pharmacies, WiFi hotspots, and subway schedules via official government data. Its key differentiator is its native integration with the MCP standard, making it instantly usable for LLMs like Claude and ChatGPT.

What Users Actually Pay

No user-reported pricing yet.

Our Take

Seoul Essentials occupies a highly specialized niche at the intersection of open government data and the emerging AI agent ecosystem. While general map applications like Naver or Kakao dominate the consumer market in South Korea, they often lack the structured, programmatic access that AI agents require for autonomous reasoning. By wrapping Seoul's Open Data Plaza into an MCP-compliant server, the developer has created a 'plug-and-play' brain for travel-focused AI agents. The project's greatest strength is its focus on 'essential' survival data—emergency pharmacies, public restrooms, and AED locations—which are often difficult for foreign tourists to find in high-pressure situations. However, because it relies on the Model Context Protocol, its utility is currently gated behind technical barriers; it is more of a developer component than a consumer app. For developers building AI-powered concierges or travel assistants, this is a top-tier resource. Its limitations are primarily geographic (Seoul only) and the lack of a traditional GUI, which may alienate non-technical users. It represents a significant upgrade over manual scraping or direct API integration with government portals, which often have complex authentication and non-standardized responses.

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Pros

+ Native MCP support allows for immediate integration with AI agents without custom code.
+ Accesses over 22,000 official data points, including specialized filters for foreign-language pharmacies.
+ Provides granular transit data, including subway timetables, which are typically difficult to parse from raw government feeds.
+ Privacy-focused and open-source, allowing for self-hosting and transparent data handling.
+ Highly localized accuracy, using GPS coordinates and district-level (Gu) filtering.

Cons

- Strictly limited to the Seoul metropolitan area, offering no utility for other South Korean cities.
- No traditional mobile app or GUI for direct consumer use (requires an MCP-compatible client).
- Dependency on the Seoul Open Data Plaza; if official government APIs change, the server requires manual updates.
- Relatively new project with a smaller community compared to established mapping APIs.

Sentiment Analysis

+0.70 — Very PositiveUpdated Mar 29, 2026

Sentiment has improved since last capture. The sentiment has shifted from neutral (0.00) to positive (0.70) following the project's transition into an MCP-compliant server. AI developers and the growing 'agentic' community have praised it as a critical bridge for localized data that was previously difficult to feed into LLMs.

Sentiment Over Time

By Source

github+0.60

5 mentions

Sample quotes (2)

"Great bridge for the Seoul Open Data APIs. Makes building travel agents much easier."
"Essential tool for anyone working with MCP and local utility data."

mcp-market+0.80

2 mentions

Sample quotes (1)

"Empowers AI agents to answer real-time queries from foreign tourists regarding nearby services."

Agent Readiness

40/100

Seoul Essentials is 'Agent-First' by design. Since it is built on the Model Context Protocol (MCP), it is exceptionally ready for autonomous AI agents. Unlike standard REST APIs that require manual tool definition, this software allows agents to 'self-discover' its capabilities for finding restrooms, pharmacies, and transit data. However, it lacks traditional no-code integrations like Zapier, as it targets the next generation of AI-native automation rather than legacy workflows.

API Surface85

Public APIMCPJSON-RPCFree Tiernone

Protocol Support0

MCP (0 tools)

SDK Availability35

npm: essentials

Integration Ecosystem0

Claude DesktopCursorChatGPT (via MCP)

Developer Experience65

Docs: goodVersioningChangelog

Last checked Mar 29, 2026

MCP Integrations

1 server4 tools11,458 total uses

Seoul Essentialsdo-droid/seoul-essentials

smitheryRemoteHigh match

Locate public facilities across Seoul including pharmacies, restrooms, WiFi hotspots, and tourist information centers. Identify nearby services using geographic coordinates or specific district filters to find help quickly. Access subway timetables to navigate the city's transit network with ease.

11,458 uses

4 tools

find_placesSearch for public facilities in Seoul (restrooms, pharmacies, WiFi hotspots, AED locations, tourist info centers). Args: type: Type of facility — "toilet", "pharmacy", "wifi", "aed", or "tourist_info". district: Seoul district name in English or Korean (e.g., "gangnam", "jongno", "강남구", "종로구"). filters: Service-specific filters as key-value pairs. Examples: {"english": true} for pharmacies with English support, {"is_24h": true} for 24-hour restrooms, {"indoor": true} for indoor WiFi. limit: Maximum number of results to return (1-50, default 10). Returns: A list of matching places with location, services, and hours information.
get_place_detailGet full details of a specific place or subway station in Seoul by its ID. Args: id: The unique place ID (e.g., "toilet_00001", "pharmacy_001", "wifi_00001", "aed_00001", "tourist_info_01"). Returns: Complete place information including location, services, hours, and accessibility, or an error message if not found.
find_nearbyFind public facilities near GPS coordinates in Seoul, sorted by distance. Args: lat: Latitude of the search center point (Seoul range: ~37.4 to ~37.7). lng: Longitude of the search center point (Seoul range: ~126.7 to ~127.2). radius_m: Search radius in meters (100-5000, default 500). type: Optional filter by facility type — "toilet", "pharmacy", "wifi", "aed", or "tourist_info". limit: Maximum number of results to return (1-20, default 5). Returns: A list of nearby places sorted by distance, with distance_m field indicating meters from the search point.
get_subway_timetableGet Seoul subway timetable for a specific station. Args: station: Station name in Korean or English (e.g., "강남" or "Gangnam", "서울역" or "Seoul Station"). line: Line number (e.g., "1", "2", "3"). If omitted for transfer stations, returns all lines. day_type: Schedule type — "weekday", "saturday", or "holiday" (default: "weekday"). direction: Train direction — "up" (toward city center) or "down" (away from center). If omitted, returns both. Returns: Timetable data with departure times, destinations, and transfer line info, or an error message if station not found.

Last checked May 1, 2026