Zovo Address Geocoder
US address lists to geography
我该使用它吗
质量与安全性
A
基于对工具定义和协议合规性的自动分析。
上下文开销
~713token 数（工具定义）
~3.1 KB典型响应大小
对注意力有中等影响（占 128k 上下文窗口的 0.56%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"census-geocode": {
"url": "https://census-geocode.zovo.one/mcp"
}
}
}远程端点
https://census-geocode.zovo.one/mcpstreamable-http它能做什么
工具清单
工具（2）
🟢 只读🟡 写入🔴 删除⚪ 未知
🟢geocode_addresses(addresses)
Use this when the user wants to geocode addresses, convert addresses to latitude and longitude, or do a census tract lookup with a downloadable Excel and CSV file. US addresses only; up to 1,000 rows and 200,000 characters. Do not use for driving directions or addresses outside US coverage.
输入模式
{
"type": "object",
"properties": {
"addresses": {
"type": "string",
"description": "US addresses, one per line, or CSV with an Address or Street header; up to 200,000 characters. Example: 1437 Bannock St, Denver, CO 80202."
}
},
"required": [
"addresses"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}输出模式
{
"type": "object",
"properties": {
"counts": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
},
"preview": {
"type": "array",
"items": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": [
"string",
"number"
]
}
}
},
"errors": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"note"
],
"additionalProperties": false
}
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
},
"source": {
"type": "string"
}
},
"required": [
"counts",
"preview",
"errors",
"downloads",
"source"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢find_address_districts(addresses)
Use this when the user wants congressional district by address, state legislative district by address, or census tract by address with downloadable Excel and CSV files. US addresses only; up to 100 rows and 200,000 characters. Do not use for elected representative names or contact details.
输入模式
{
"type": "object",
"properties": {
"addresses": {
"type": "string",
"description": "US addresses, one per line, or CSV with an Address or Street header; up to 200,000 characters. Example: 1437 Bannock St, Denver, CO 80202."
}
},
"required": [
"addresses"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}输出模式
{
"type": "object",
"properties": {
"counts": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
},
"preview": {
"type": "array",
"items": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": [
"string",
"number"
]
}
}
},
"errors": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"note"
],
"additionalProperties": false
}
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
},
"source": {
"type": "string"
}
},
"required": [
"counts",
"preview",
"errors",
"downloads",
"source"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}社区
证据
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已验证未记录版本2 个工具