zipexplore-mcp
US ZIP code intelligence: demographics, weather, tax, crime, housing, voting, and more.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"zipexplore-mcp": {
"url": "https://mcp.zipexplore.com/mcp"
}
}
}遠端端點
https://mcp.zipexplore.com/mcpstreamable-http它能做什麼
工具清單
工具（22）
🟢get_article(slug)
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 sections and methodology notes exactly as published.
輸入結構描述
{
"type": "object",
"properties": {
"slug": {
"title": "Slug",
"type": "string"
}
},
"required": [
"slug"
],
"title": "get_articleArguments"
}⚪ping
Returns server status and tool/resource counts. Use this to verify the ZipExplore MCP connection is live.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "pingArguments"
}🟢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, coverage gap explanations, and per-domain vintage summary. Call this when you have questions about data quality, what a quality_flag code means, why a ZIP has no data, or how to reason carefully about scores and correlations.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "get_methodologyArguments"
}🟡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 variation among America's oldest ZIP codes. Each entry includes the key finding, specific quantitative results, caveats, and a URL to the full article. Call this when a user asks about these topics or when published findings would add context to a live data lookup.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "get_researchArguments"
}🟢search_zips(criteria, limit, states, regions, area_types, ...)
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, "level": "low"|"medium"|"high"} area_types: "CITY" | "SUBURB" | "SMALL_TOWN" | "RURAL" regions: "northeast" | "southeast" | "midwest" | "southwest" | "west"
輸入結構描述
{
"type": "object",
"properties": {
"criteria": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Criteria",
"type": "array"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
},
"states": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "States"
},
"regions": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Regions"
},
"area_types": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Area Types"
},
"minimum_completeness": {
"default": 0.7,
"title": "Minimum Completeness",
"type": "number"
}
},
"required": [
"criteria"
],
"title": "search_zipsArguments"
}🟢get_zip_profile(zip)
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 specific ZIP. For deeper data on one domain, use the domain-specific tools.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_zip_profileArguments"
}🟢compare_zips(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.
輸入結構描述
{
"type": "object",
"properties": {
"zips": {
"items": {
"type": "string"
},
"title": "Zips",
"type": "array"
}
},
"required": [
"zips"
],
"title": "compare_zipsArguments"
}🟢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.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "get_search_fieldsArguments"
}🟢get_census_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_census_profileArguments"
}⚪reverse_geocode(lat, lon)
Convert a latitude/longitude coordinate to a ZIP code. Use when the user provides an address or map coordinates rather than a ZIP code.
輸入結構描述
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
}
},
"required": [
"lat",
"lon"
],
"title": "reverse_geocodeArguments"
}🟡get_zip_centroids(zips)
Get the latitude/longitude centroid for one or more ZIP codes (max 200). Use when you need map coordinates for a set of ZIPs.
輸入結構描述
{
"type": "object",
"properties": {
"zips": {
"items": {
"type": "string"
},
"title": "Zips",
"type": "array"
}
},
"required": [
"zips"
],
"title": "get_zip_centroidsArguments"
}🟢get_weather_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_weather_profileArguments"
}🟢get_tax_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_tax_profileArguments"
}🟢get_crime_profile(zip)
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).
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_crime_profileArguments"
}🟢get_cost_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_cost_profileArguments"
}🟢get_voting_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_voting_profileArguments"
}🟢get_education_profile(zip)
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 reflect data from the nearest ZIP if no schools are in this ZIP.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_education_profileArguments"
}🟢get_healthcare_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_healthcare_profileArguments"
}🟢get_business_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_business_profileArguments"
}🟢get_air_quality_profile(zip)
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.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_air_quality_profileArguments"
}🟢get_disaster_risk_profile(zip)
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 estimates.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_disaster_risk_profileArguments"
}🟢get_transit_profile(zip)
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 nearest subway/rail distances.
輸入結構描述
{
"type": "object",
"properties": {
"zip": {
"title": "Zip",
"type": "string"
}
},
"required": [
"zip"
],
"title": "get_transit_profileArguments"
}社群
證據