GAJA (가자) - Korea Travel & Measured Visits MCP
Server Details
Real-world measured visit big data and travel course recommendation MCP for South Korea.
- Status
- Healthy
- Uptime
- 95.5% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- rlrdus-qq/gaja-mcp
- GitHub Stars
- 0
- Server Listing
- GAJA
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 4 tools
Freshness is clearly metadata, and recommend_places (one district itinerary) is distinct from the two ranking tools. However, gaja_get_foreign_surge and gaja_recommend_trending_places both return lists of rising regions and could be confused for inbound-travel queries; descriptions help but the boundary (foreign-only vs. all visits) requires careful reading.
All tools follow a uniform gaja_<verb>_<noun> pattern: get_data_freshness, get_foreign_surge, recommend_places, recommend_trending_places. Verbs are used consistently by intent (get for data retrieval, recommend for recommendation output).
Four tools is a tight, well-scoped surface for a focused travel-data service, with one metadata tool and three query tools. It is on the thin side for a travel planning domain but nothing is redundant.
gaja_recommend_places requires a district identifier, yet there is no tool to list, search, or resolve regions by name (e.g., 'Busan'), which is a notable dead end for a common query flow. The two ranking tools partially supply region codes, so agents can work around it, but a region lookup/search is a clear gap.
Available Tools
4 toolsgaja_get_data_freshnessARead-onlyIdempotentInspect
이 서버가 가진 데이터의 기준 시점·집계 구간·표본 수를 돌려준다. Returns the as-of date, coverage window and sample size. [auth] 읽기 · 인증 불필요 [output] {'data_through': 'str', 'covers': 'dict', 'compares': 'dict', 'sample_regions': 'int', 'updated_on': 'str', 'provenance': 'dict'}
Inputs: lang.
gaja_get_foreign_surgeARead-onlyIdempotentInspect
외국인 방문이 급증한 한국 지역을 돌려준다. 방한 관광 질의에 쓴다. Returns Korean districts with the largest surge in foreign visitors, for inbound-travel questions. [auth] 읽기 · 인증 불필요 [output] {'regions': 'list[{region_cd, region_nm, sido_nm, visitors_cur, visitors_prev, delta, rate}]', 'window': 'dict', 'provenance': 'dict'}
Inputs: lang, sort, limit.
gaja_recommend_placesBRead-onlyIdempotentInspect
한국 시군구 하나에 대해 실제 방문 데이터로 고른 가볼 만한 곳과 하루 단위 코스(오전·점심·오후·저녁·숙소)를 날씨와 근거와 함께 돌려준다. Returns places worth visiting in one Korean district, chosen from measured visits, plus a day-by-day course with weather and the reasons. [auth] 읽기 · 인증 불필요 [output] {'region': 'dict', 'dates': 'dict', 'places': 'list[{name, category, lat, lon, addr, reason}]', 'days': 'list[{day, items:[{time, name, group, category}], legs:[{mode, minutes, km}]}] (legs[i] = items[i]→items[i+1] 이동)', 'weather': 'list[{day, tmin, tmax, pop, rain_flag}]', 'basis': 'str', 'provenance': 'dict', 'places_source': 'list[str]'}
Inputs: region (required), days, lang.
gaja_recommend_trending_placesARead-onlyIdempotentInspect
실제 방문 데이터로 요즘 방문이 늘고 있는 한국 지역을 돌려준다. 전국 시군구 단위(서울 외 지역 포함). Returns Korean districts where visits are rising, nationwide — not limited to Seoul. [auth] 읽기 · 인증 불필요 [output] {'places': 'list[{region_cd, region_nm, sido_nm, rate, hot_score, reason}]', 'provenance': 'dict'}
Inputs: lang, limit, region.
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