Zipexplore MCP

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

검사 2/3 통과 · 내가 묻는 내용은 제작자 서버(mcp.zipexplore.com)를 거쳐요

claude mcp add --transport http --scope user zipexplore https://mcp.zipexplore.com/mcp --header 'x-api-key: {zipexplore_api_key}'

{
  "mcpServers": {
    "zipexplore": {
      "url": "https://mcp.zipexplore.com/mcp",
      "headers": {
        "x-api-key": "{zipexplore_api_key}"
      }
    }
  }
}

{
  "servers": {
    "zipexplore": {
      "type": "http",
      "url": "https://mcp.zipexplore.com/mcp",
      "headers": {
        "x-api-key": "{zipexplore_api_key}"
      }
    }
  }
}

어떤 앱에서 쓸 수 있나요

이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.

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할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 10일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

• get_article

  Returns the full prose of a specific ZipExplore research article. Use this for editing, fact-checking, detailed analysis, or when get_research summaries aren't enough. Valid slugs: disappearing-towns, hazard-premium, snap-economy, wealthy-retirees. Each article includes all body

• ping

  Returns server status and tool/resource counts. Use this to verify the ZipExplore MCP connection is live.

• get_methodology

  Returns ZipExplore's data interpretation guide: reasoning guardrails (associations vs. causes, small-ZIP noise, averages hiding distributions, editorial score weights, drawing conclusions about people from geographic data), quality flag definitions, known data limitations, covera

• get_research

  Returns ZipExplore's published research articles — original data findings on topics including disaster risk vs. housing costs (the Hazard Premium), food insecurity in fully-employed communities (SNAP economy), economically declining towns vs. retirement communities, and income va

• search_zips

  Find ZIP codes matching one or more criteria. Returns a ranked list with scores. Use this first when the user wants recommendations (e.g. "find a low-crime suburb near Denver"). Call get_search_fields first if you're unsure what field names to use. criteria: list of {"field": str

• get_zip_profile

  Full location profile for one ZIP code across all 12 data domains: demographics, climate, tax, crime, cost of living, voting, education, healthcare, business, air quality, disaster risk, and transit. Use this to get detail on a ZIP after search, or when the user asks about a spec

• compare_zips

  Side-by-side full profiles for 2–5 ZIP codes. Use when the user has finalists and needs to choose between them. Returns the same profile shape as get_zip_profile for each ZIP.

• get_search_fields

  Lists every field name, type, and description available for search criteria. Call this when you're unsure what field names to pass to search_zips, or when the user asks what data ZipExplore has.

• get_census_profile

  Detailed Census / demographics data for one ZIP code. Use when get_zip_profile's demographics section isn't sufficient depth. Includes population, housing, income distribution, education attainment, economic indicators, internet access, and public assistance rates.

• reverse_geocode

  Convert a latitude/longitude coordinate to a ZIP code. Use when the user provides an address or map coordinates rather than a ZIP code.

• get_zip_centroids

  Get the latitude/longitude centroid for one or more ZIP codes (max 200). Use when you need map coordinates for a set of ZIPs.

• get_weather_profile

  Detailed climate data for one ZIP code. Use when get_zip_profile's climate section isn't sufficient depth. Includes annual/monthly temperature averages, precipitation, humidity, and nearest weather station info.

• get_tax_profile

  Detailed tax data for one ZIP code. Use when get_zip_profile's tax section isn't sufficient depth. Includes state income tax, sales tax, property tax effective rates, excise taxes, and IRS income statistics.

• get_crime_profile

  Detailed crime data for one ZIP code. Use when get_zip_profile's crime section isn't sufficient depth. Includes violent crime rate, property crime rate, and data quality flags (coverage level, Bayesian shrinkage).

• get_cost_profile

  Detailed cost of living data for one ZIP code. Use when get_zip_profile's cost section isn't sufficient depth. Includes fair market rents, housing cost burden, regional price indices, and affordability metrics.

• get_voting_profile

  Detailed voting and political data for one ZIP code. Use when get_zip_profile's voting section isn't sufficient depth. Includes presidential election results, partisan lean, congressional and state legislative districts, and state officials.

• get_education_profile

  Detailed school data for one ZIP code. Use when get_zip_profile's education section isn't sufficient depth. Includes school counts, student-teacher ratios, graduation rates, per-pupil spending, Title I percentage, and budget breakdown (instruction vs. admin vs. capital). May refl

• get_healthcare_profile

  Detailed healthcare data for one ZIP code. Use when get_zip_profile's healthcare section isn't sufficient depth. Includes hospital count and ratings, nursing homes, beds per capita, primary care and mental health shortage area designations, pharmacy count, and urgent care count.

• get_business_profile

  Detailed business and employment data for one ZIP code. Use when get_zip_profile's business section isn't sufficient depth. Includes top industries, sector breakdowns, total establishments, employment, and annual payroll from Census BDS/CBP data.

• get_air_quality_profile

  Detailed air quality data for one ZIP code. Use when get_zip_profile's air quality section isn't sufficient depth. Includes EPA AQS pollutant levels (PM2.5, PM10, ozone, NO2, SO2, CO) and AQI summary.

• get_disaster_risk_profile

  Detailed natural disaster risk data for one ZIP code. Use when get_zip_profile's disaster risk section isn't sufficient depth. Includes FEMA NRI overall risk score, individual hazard scores (hurricane, tornado, earthquake, wildfire, flood, etc.), and expected annual loss estimate

• get_transit_profile

  Detailed public transit data for one ZIP code. Use when get_zip_profile's transit section isn't sufficient depth. Includes bus stop count, subway station count, rail station count, light rail count, ferry terminal count, total transit stops, transit commute percentage, and neares

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 12일 점검

• ! 주의

  제작자와 저장소 일치

  게시자(andrew-sondgeroth)가 저장소 소유자(andrew-sondgeroth)가 아니에요. 다른 사람이 등록했을 수 있어요

• … 아직 점검 안 함

  계속 관리되고 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• … 아직 점검 안 함

  라이선스 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• ✓ 통과

  엔드포인트 응답

  162ms 만에 응답(HTTP 200)

• – 해당 없음

  OAuth로 로그인

  로그인 필요 없음

• ✓ 통과

  도구 설명에 숨겨진 지시 없음

  도구 설명 22개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

사용자 리뷰

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Google로 로그인하고 리뷰 쓰기

회계, 재무 및 세금 카테고리의 다른 서버와 비교i

• 이 카테고리의 다른 서버 3152개 중 0%보다 스타가 많아요
• 이 카테고리의 다른 서버 3152개 중 8%보다 최근에 레지스트리에 공개됐어요
• 기본 점검 결과가 이 카테고리의 다른 서버 3152개 중 51%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

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카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

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